Uses of Package elki.data (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

Packages that use elki.data
Package	Description
elki.algorithm	Miscellaneous algorithms.
elki.algorithm.statistics	Statistical analysis algorithms.
elki.application.benchmark	Benchmarking pseudo algorithms.
elki.application.greedyensemble	Greedy ensembles for outlier detection.
elki.application.statistics	Applications to compute some basic data set statistics.
elki.classification	Classification algorithms.
elki.clustering	Clustering algorithms.
elki.clustering.affinitypropagation	Affinity Propagation (AP) clustering.
elki.clustering.biclustering	Biclustering algorithms.
elki.clustering.correlation	Correlation clustering algorithms.
elki.clustering.correlation.cash	Helper classes for the `CASH` algorithm.
elki.clustering.dbscan	DBSCAN and its generalizations.
elki.clustering.dbscan.parallel	Parallel versions of Generalized DBSCAN.
elki.clustering.dbscan.predicates	Neighbor and core predicated for Generalized DBSCAN.
elki.clustering.em	Expectation-Maximization clustering algorithm for Gaussian Mixture Modeling (GMM).
elki.clustering.em.models
elki.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
elki.clustering.hierarchical.birch	BIRCH clustering.
elki.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
elki.clustering.kcenter	K-center clustering.
elki.clustering.kmeans	K-means clustering and variations.
elki.clustering.kmeans.initialization	Initialization strategies for k-means.
elki.clustering.kmeans.parallel	Parallelized implementations of k-means.
elki.clustering.kmeans.quality	Quality measures for k-Means results.
elki.clustering.kmeans.spherical	Spherical k-means clustering and variations.
elki.clustering.kmedoids	K-medoids clustering (PAM).
elki.clustering.kmedoids.initialization
elki.clustering.meta	Meta clustering algorithms, that get their result from other clusterings or external sources.
elki.clustering.onedimensional	Clustering algorithms for one-dimensional data.
elki.clustering.optics	OPTICS family of clustering algorithms.
elki.clustering.silhouette	Silhouette clustering algorithms.
elki.clustering.subspace	Axis-parallel subspace clustering algorithms.
elki.clustering.subspace.clique	Helper classes for the `CLIQUE` algorithm.
elki.clustering.svm
elki.clustering.trivial	Trivial clustering algorithms: all in one, no clusters, label clusterings.
elki.clustering.uncertain	Clustering algorithms for uncertain data.
elki.data	Basic classes for different data types, database object types and label types.
elki.data.model	Cluster models classes for various algorithms.
elki.data.projection	Data projections.
elki.data.projection.random	Random projection families.
elki.data.spatial	Spatial data types - interfaces and utilities.
elki.data.synthetic.bymodel	Generator using a distribution model specified in an XML configuration file.
elki.data.type	Data type information, also used for type restrictions.
elki.data.uncertain	Uncertain data objects.
elki.data.uncertain.uncertainifier	Classes to generate uncertain objects from existing certain data.
elki.database	ELKI database layer - loading, storing, indexing and accessing data.
elki.database.query.distance	Prepared queries for distances.
elki.database.query.knn	Prepared queries for k nearest neighbor (kNN) queries.
elki.database.query.range	Prepared queries for ε-range queries, that return all objects within the radius ε.
elki.database.relation	Relations, materialized and virtual (views).
elki.datasource.filter	Data filtering, in particular for normalization and projection.
elki.datasource.filter.cleaning	Filters for data cleaning.
elki.datasource.filter.normalization.columnwise	Normalizations operating on columns / variates; where each column is treated independently.
elki.datasource.filter.normalization.instancewise	Instancewise normalization, where each instance is normalized independently.
elki.datasource.filter.transform	Data space transformations.
elki.datasource.filter.typeconversions	Filters to perform data type conversions.
elki.datasource.parser	Parsers for different file formats and data types.
elki.distance	Distance functions for use within ELKI.
elki.distance.colorhistogram	Distance functions for color histograms.
elki.distance.correlation	Distance functions using correlations.
elki.distance.geo	Geographic (earth) distance functions.
elki.distance.histogram	Distance functions for one-dimensional histograms.
elki.distance.minkowski	Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
elki.distance.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence, F-divergence, χ²-divergence, etc.
elki.distance.set	Distance functions for binary and set type data.
elki.distance.subspace	Distance functions based on subspaces.
elki.distance.timeseries	Distance functions designed for time series.
elki.evaluation.classification	Evaluation of classification algorithms.
elki.evaluation.classification.holdout	Holdout and cross-validation strategies for evaluating classifiers.
elki.evaluation.clustering	Evaluation of clustering results.
elki.evaluation.clustering.internal	Internal evaluation measures for clusterings.
elki.evaluation.clustering.pairsegments	Pair-segment analysis of multiple clusterings.
elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
elki.evaluation.scores.adapter	Adapter classes for ranking and scoring measures.
elki.index.invertedlist	Indexes using inverted lists.
elki.index.lsh.hashfamilies	Hash function families for LSH.
elki.index.lsh.hashfunctions	Hash functions for LSH.
elki.index.preprocessed.fastoptics	Preprocessed index used by the FastOPTICS algorithm.
elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
elki.index.projected	Projected indexes for data.
elki.index.tree.betula	BETULA clustering by aggregating the data into cluster features.
elki.index.tree.betula.distance	Distance functions for BETULA and BIRCH.
elki.index.tree.betula.features	Different variants of Betula and BIRCH cluster features.
elki.index.tree.metrical.vptree
elki.index.tree.spatial	Tree-based index structures for spatial indexing.
elki.index.tree.spatial.kd	K-d-tree and variants.
elki.index.tree.spatial.kd.split
elki.index.tree.spatial.rstarvariants	R*-tree and variants.
elki.index.tree.spatial.rstarvariants.deliclu	`DeLiCluTree`.
elki.index.tree.spatial.rstarvariants.flat	`FlatRStarTree`.
elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.
elki.index.tree.spatial.rstarvariants.rdknn	`RdKNNTree`.
elki.index.tree.spatial.rstarvariants.rstar	`RStarTree`.
elki.index.tree.spatial.rstarvariants.strategies.split	Splitting strategies for R-trees.
elki.index.vafile	Vector Approximation File.
elki.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.
elki.itemsetmining.associationrules	Association rule mining.
elki.math	Mathematical operations and utilities used throughout the framework.
elki.math.linearalgebra	The linear algebra package provides classes and computational methods for operations on matrices and vectors.
elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and eigenvector processing.
elki.math.spacefillingcurves	Space filling curves.
elki.math.statistics.intrinsicdimensionality	Methods for estimating the intrinsic dimensionality.
elki.outlier	Outlier detection algorithms.
elki.outlier.anglebased	Angle-based outlier detection algorithms.
elki.outlier.clustering	Clustering based outlier detection.
elki.outlier.density	Density-based outlier detection algorithms.
elki.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
elki.outlier.lof	LOF family of outlier detection algorithms.
elki.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
elki.outlier.spatial	Spatial outlier detection algorithms.
elki.outlier.subspace	Subspace outlier detection methods.
elki.outlier.svm	Support-Vector-Machines for outlier detection.
elki.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
elki.projection	Data projections (see also preprocessing filters for basic projections).
elki.result	Result types, representation and handling.
elki.result.textwriter	Text serialization (CSV, Gnuplot, Console, ...).
elki.result.textwriter.naming	Naming schemes for clusters (for output when an algorithm does not generate cluster names).
elki.similarity	Similarity functions.
elki.similarity.cluster	Similarity measures for comparing clusters.
elki.similarity.kernel	Kernel functions.
elki.timeseries	Algorithms for change point detection in time series.
elki.utilities.datastructures.arraylike	Common API for accessing objects that are "array-like", including lists, numerical vectors, database vectors and arrays.
elki.utilities.referencepoints	Package containing strategies to obtain reference points.
elki.visualization	Visualization package of ELKI.
elki.visualization.gui	Package to provide a visualization GUI.
elki.visualization.opticsplot	Code for drawing OPTICS plots.
elki.visualization.parallel3d	3DPC: 3D parallel coordinate plot visualization for ELKI.
elki.visualization.parallel3d.layout	Layouting algorithms for 3D parallel coordinate plots.
elki.visualization.projections	Visualization projections.
elki.visualization.projector	Projectors are responsible for finding appropriate projections for data relations.
elki.visualization.style	Style management for ELKI visualizations.
elki.visualization.svg	Base SVG functionality (generation, markers, thumbnails, export, ...).
elki.visualization.visualizers.actions	Action-only "visualizers" that only produce menu entries.
elki.visualization.visualizers.histogram	Visualizers based on 1D projected histograms.
elki.visualization.visualizers.optics	Visualizers that do work on OPTICS plots.
elki.visualization.visualizers.parallel.selection	Visualizers for object selection based on parallel projections.
elki.visualization.visualizers.scatterplot	Visualizers based on scatterplots.
elki.visualization.visualizers.scatterplot.cluster	Visualizers for clustering results based on 2D projections.
elki.visualization.visualizers.scatterplot.selection	Visualizers for object selection based on 2D projections.
elki.visualization.visualizers.visunproj	Visualizers that do not use a particular projection.
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.
tutorial.distancefunction	Classes from the tutorial on implementing distance functions.

Classes in elki.data used by elki.algorithm
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.algorithm.statistics
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.application.benchmark
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.application.greedyensemble
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.application.statistics
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.classification
Class	Description
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

Classes in elki.data used by elki.clustering
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.affinitypropagation
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.biclustering
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.correlation
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
DoubleVector	Vector type using `double[]` storage for real numbers.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.correlation.cash
Class	Description
HyperBoundingBox	HyperBoundingBox represents a hyperrectangle in the multidimensional space.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.dbscan
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.dbscan.parallel
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.dbscan.predicates
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.em
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.em.models
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.hierarchical
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.hierarchical.birch
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.hierarchical.extraction
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.kcenter
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.kmeans
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.
VectorUtil.SortDBIDsBySingleDimension	Compare number vectors by a single dimension.

Classes in elki.data used by elki.clustering.kmeans.initialization
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.kmeans.parallel
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.kmeans.quality
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.kmeans.spherical
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.kmedoids
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.kmedoids.initialization
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.meta
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.onedimensional
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.optics
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.silhouette
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.subspace
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
Subspace	Represents a subspace of the original data space.

Classes in elki.data used by elki.clustering.subspace.clique
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
Subspace	Represents a subspace of the original data space.

Classes in elki.data used by elki.clustering.svm
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.clustering.trivial
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.clustering.uncertain
Class	Description
Clustering	Result class for clusterings.
DoubleVector	Vector type using `double[]` storage for real numbers.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.data
Class	Description
Bit	A boolean number type.
BitVector	Vector using a dense bit set encoding, based on `long[]` storage.
BitVector.Factory	Factory for bit vectors.
ByteVector	Vector using `byte[]` storage.
ByteVector.Factory	Factory for Byte vectors.
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
ClassLabel.Factory	Class label factory.
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
DoubleVector	Vector type using `double[]` storage for real numbers.
DoubleVector.Factory	Factory for Double vectors.
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory	Factory API for this feature vector.
FloatVector	Vector type using `float[]` storage, thus needing approximately half as much memory as `DoubleVector`.
FloatVector.Factory	Factory for float vectors.
HierarchicalClassLabel	A HierarchicalClassLabel is a ClassLabel to reflect a hierarchical structure of classes.
HyperBoundingBox	HyperBoundingBox represents a hyperrectangle in the multidimensional space.
IntegerVector	Vector type using `int[]` storage.
IntegerVector.Factory	Factory for integer vectors.
LabelList	A list of string labels.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.
OneDimensionalDoubleVector	Specialized class implementing a one-dimensional double vector without using an array.
OneDimensionalDoubleVector.Factory	Factory class.
ShortVector	Vector type using `short[]` storage.
ShortVector.Factory	Factory for Short vectors.
SimpleClassLabel	A simple class label casting a String as it is as label.
SparseByteVector	Sparse vector type, using `byte[]` for storing the values, and `int[]` for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).
SparseByteVector.Factory	Factory class.
SparseDoubleVector	Sparse vector type, using `double[]` for storing the values, and `int[]` for storing the indexes, approximately 12 bytes per non-zero value.
SparseDoubleVector.Factory	Factory class.
SparseFeatureVector	Extended interface for sparse feature vector types.
SparseFloatVector	Sparse vector type, using `float[]` for storing the values, and `int[]` for storing the indexes, approximately 8 bytes per non-zero value.
SparseFloatVector.Factory	Factory class.
SparseIntegerVector	Sparse vector type, using `int[]` for storing the values, and `int[]` for storing the indexes, approximately 8 bytes per non-zero integer value.
SparseIntegerVector.Factory	Factory class.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.
SparseNumberVector.Factory	Factory for sparse number vectors: make from a dim-value map.
SparseShortVector	Sparse vector type, using `short[]` for storing the values, and `int[]` for storing the indexes, approximately 6 bytes per non-zero value.
SparseShortVector.Factory	Factory class.
Subspace	Represents a subspace of the original data space.

Classes in elki.data used by elki.data.model
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.
Subspace	Represents a subspace of the original data space.

Classes in elki.data used by elki.data.projection
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory	Factory API for this feature vector.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.

Classes in elki.data used by elki.data.projection.random
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data used by elki.data.spatial
Class	Description
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).

Classes in elki.data used by elki.data.synthetic.bymodel
Class	Description
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

Classes in elki.data used by elki.data.type
Class	Description
BitVector	Vector using a dense bit set encoding, based on `long[]` storage.
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
DoubleVector	Vector type using `double[]` storage for real numbers.
ExternalID	External ID objects.
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory	Factory API for this feature vector.
FloatVector	Vector type using `float[]` storage, thus needing approximately half as much memory as `DoubleVector`.
LabelList	A list of string labels.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SimpleClassLabel	A simple class label casting a String as it is as label.
SparseDoubleVector	Sparse vector type, using `double[]` for storing the values, and `int[]` for storing the indexes, approximately 12 bytes per non-zero value.
SparseFloatVector	Sparse vector type, using `float[]` for storing the values, and `int[]` for storing the indexes, approximately 8 bytes per non-zero value.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data used by elki.data.uncertain
Class	Description
DoubleVector	Vector type using `double[]` storage for real numbers.
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory	Factory API for this feature vector.
HyperBoundingBox	HyperBoundingBox represents a hyperrectangle in the multidimensional space.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.data.uncertain.uncertainifier
Class	Description
FeatureVector.Factory	Factory API for this feature vector.

Classes in elki.data used by elki.database
Class	Description
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

Classes in elki.data used by elki.database.query.distance
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.database.query.knn
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.database.query.range
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.database.relation
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.

Classes in elki.data used by elki.datasource.filter
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.

Classes in elki.data used by elki.datasource.filter.cleaning
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.

Classes in elki.data used by elki.datasource.filter.normalization.columnwise
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data used by elki.datasource.filter.normalization.instancewise
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.datasource.filter.transform
Class	Description
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
DoubleVector	Vector type using `double[]` storage for real numbers.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.

Classes in elki.data used by elki.datasource.filter.typeconversions
Class	Description
ClassLabel.Factory	Class label factory.
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SimpleClassLabel	A simple class label casting a String as it is as label.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data used by elki.datasource.parser
Class	Description
BitVector	Vector using a dense bit set encoding, based on `long[]` storage.
Clustering	Result class for clusterings.
ExternalID	External ID objects.
LabelList	A list of string labels.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.
SparseNumberVector.Factory	Factory for sparse number vectors: make from a dim-value map.

Classes in elki.data used by elki.distance
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.colorhistogram
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.correlation
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.geo
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.histogram
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.minkowski
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data used by elki.distance.probabilistic
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.set
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.subspace
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.distance.timeseries
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.evaluation.classification
Class	Description
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

Classes in elki.data used by elki.evaluation.classification.holdout
Class	Description
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

Classes in elki.data used by elki.evaluation.clustering
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.evaluation.clustering.internal
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.evaluation.clustering.pairsegments
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.evaluation.outlier
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.evaluation.scores.adapter
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.invertedlist
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data used by elki.index.lsh.hashfamilies
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.lsh.hashfunctions
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.preprocessed.fastoptics
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.preprocessed.knn
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.projected
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.betula
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.betula.distance
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.betula.features
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.metrical.vptree
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial.kd
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
VectorUtil.SortDBIDsBySingleDimension	Compare number vectors by a single dimension.

Classes in elki.data used by elki.index.tree.spatial.kd.split
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
VectorUtil.SortDBIDsBySingleDimension	Compare number vectors by a single dimension.

Classes in elki.data used by elki.index.tree.spatial.rstarvariants
Class	Description
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial.rstarvariants.deliclu
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial.rstarvariants.flat
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial.rstarvariants.query
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial.rstarvariants.rdknn
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial.rstarvariants.rstar
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.index.tree.spatial.rstarvariants.strategies.split
Class	Description
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).

Classes in elki.data used by elki.index.vafile
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.itemsetmining
Class	Description
BitVector	Vector using a dense bit set encoding, based on `long[]` storage.
SparseFeatureVector	Extended interface for sparse feature vector types.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data used by elki.itemsetmining.associationrules
Class	Description
BitVector	Vector using a dense bit set encoding, based on `long[]` storage.

Classes in elki.data used by elki.math
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.math.linearalgebra
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.math.linearalgebra.pca
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.math.spacefillingcurves
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.math.statistics.intrinsicdimensionality
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.anglebased
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.clustering
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.density
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.distance
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.lof
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.meta
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.spatial
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.subspace
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.svm
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.outlier.trivial
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.projection
Class	Description
DoubleVector	Vector type using `double[]` storage for real numbers.

Classes in elki.data used by elki.result
Class	Description
BitVector	Vector using a dense bit set encoding, based on `long[]` storage.
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.result.textwriter
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.result.textwriter.naming
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.similarity
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.similarity.cluster
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.similarity.kernel
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.timeseries
Class	Description
DoubleVector	Vector type using `double[]` storage for real numbers.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.utilities.datastructures.arraylike
Class	Description
FeatureVector	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.utilities.referencepoints
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.visualization.gui
Class	Description
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

Classes in elki.data used by elki.visualization.opticsplot
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.visualization.parallel3d
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization.parallel3d.layout
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization.projections
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory	Factory API for this feature vector.

Classes in elki.data used by elki.visualization.projector
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization.style
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.visualization.svg
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization.visualizers.actions
Class	Description
Clustering	Result class for clusterings.

Classes in elki.data used by elki.visualization.visualizers.histogram
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization.visualizers.optics
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by elki.visualization.visualizers.parallel.selection
Class	Description
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).

Classes in elki.data used by elki.visualization.visualizers.scatterplot
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization.visualizers.scatterplot.cluster
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.

Classes in elki.data used by elki.visualization.visualizers.scatterplot.selection
Class	Description
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to `HyperBoundingBox`).
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by elki.visualization.visualizers.visunproj
Class	Description
Cluster	Generic cluster class, that may or not have hierarchical information.
Clustering	Result class for clusterings.

Classes in elki.data used by tutorial.clustering
Class	Description
Clustering	Result class for clusterings.
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in elki.data used by tutorial.distancefunction
Class	Description
NumberVector	Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Uses of Packageelki.data

Uses of Package
elki.data