Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.benchmark |
Benchmarking pseudo algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.classification |
Classification algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation |
Affinity Propagation (AP) clustering.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering |
Biclustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash |
Helper classes for the
CASH algorithm. |
de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization |
Initialization strategies for k-means.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel |
Parallelized implementations of k-means.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality |
Quality measures for k-Means results.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.meta |
Meta clustering algorithms, that get their result from other clusterings or external sources.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional |
Clustering algorithms for one-dimensional data.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.trivial |
Trivial clustering algorithms: all in one, no clusters, label clusterings
These methods are mostly useful for providing a reference result in evaluation.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.algorithm.itemsetmining |
Algorithms for frequent itemset mining such as APRIORI.
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased |
Angle-based outlier detection algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering |
Clustering based outlier detection.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance |
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic |
Outlier detection algorithms based on intrinsic dimensionality.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel |
Parallelized variants of LOF.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.meta |
Meta outlier detection algorithms: external scores, score rescaling.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood |
Spatial outlier neighborhood classes
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted |
Weighted Neighborhood definitions.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial |
Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
|
de.lmu.ifi.dbs.elki.application.greedyensemble |
Greedy ensembles for outlier detection.
|
de.lmu.ifi.dbs.elki.data |
Basic classes for different data types, database object types and label types.
|
de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
|
de.lmu.ifi.dbs.elki.database |
ELKI database layer - loading, storing, indexing and accessing data
|
de.lmu.ifi.dbs.elki.database.query.distance |
Prepared queries for distances.
|
de.lmu.ifi.dbs.elki.database.query.knn |
Prepared queries for k nearest neighbor (kNN) queries.
|
de.lmu.ifi.dbs.elki.database.query.range |
Prepared queries for ε-range queries, that return all objects within the radius ε.
|
de.lmu.ifi.dbs.elki.database.query.rknn |
Prepared queries for reverse k nearest neighbor (rkNN) queries.
|
de.lmu.ifi.dbs.elki.database.query.similarity |
Prepared queries for similarity functions.
|
de.lmu.ifi.dbs.elki.database.relation |
Relations, materialized and virtual (views).
|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter |
Distance functions deriving distances from e.g. similarity measures
|
de.lmu.ifi.dbs.elki.distance.distancefunction.external |
Distance functions using external data sources.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic |
Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.set |
Distance functions for binary and set type data.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster |
Similarity measures for comparing clusters.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
de.lmu.ifi.dbs.elki.evaluation.clustering.internal |
Internal evaluation measures for clusterings.
|
de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
|
de.lmu.ifi.dbs.elki.evaluation.scores.adapter |
Adapter classes for ranking and scoring measures.
|
de.lmu.ifi.dbs.elki.evaluation.similaritymatrix |
Render a distance matrix to visualize a clustering-distance-combination.
|
de.lmu.ifi.dbs.elki.index |
Index structure implementations
|
de.lmu.ifi.dbs.elki.index.distancematrix |
Precomputed distance matrix.
|
de.lmu.ifi.dbs.elki.index.idistance |
iDistance is a distance based indexing technique, using a reference points embedding.
|
de.lmu.ifi.dbs.elki.index.invertedlist |
Indexes using inverted lists.
|
de.lmu.ifi.dbs.elki.index.lsh |
Locality Sensitive Hashing
|
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies |
Hash function families for LSH.
|
de.lmu.ifi.dbs.elki.index.preprocessed |
Index structure based on preprocessors
|
de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics |
Preprocessed index used by the FastOPTICS algorithm.
|
de.lmu.ifi.dbs.elki.index.preprocessed.knn |
Indexes providing KNN and rKNN data.
|
de.lmu.ifi.dbs.elki.index.preprocessed.localpca |
Index using a preprocessed local PCA.
|
de.lmu.ifi.dbs.elki.index.preprocessed.preference |
Indexes storing preference vectors.
|
de.lmu.ifi.dbs.elki.index.preprocessed.snn |
Indexes providing nearest neighbor sets
|
de.lmu.ifi.dbs.elki.index.projected |
Projected indexes for data.
|
de.lmu.ifi.dbs.elki.index.tree.metrical.covertree |
Cover-tree variations.
|
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees |
Metrical index structures based on the concepts of the M-Tree
supporting processing of reverse k nearest neighbor queries by
using the k-nn distances of the entries.
|
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree | |
de.lmu.ifi.dbs.elki.index.tree.spatial.kd |
K-d-tree and variants.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu | |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat | |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query |
Queries on the R-Tree family of indexes: kNN and range queries.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn | |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar | |
de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
de.lmu.ifi.dbs.elki.math.dimensionsimilarity |
Functions to compute the similarity of dimensions (or the interestingness of the combination).
|
de.lmu.ifi.dbs.elki.math.linearalgebra |
Linear Algebra package provides classes and computational methods for operations on matrices.
|
de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
de.lmu.ifi.dbs.elki.math.scales |
Scales handling for plotting.
|
de.lmu.ifi.dbs.elki.math.spacefillingcurves |
Space filling curves.
|
de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
de.lmu.ifi.dbs.elki.result.outlier |
Outlier result classes
|
de.lmu.ifi.dbs.elki.result.textwriter |
Text serialization (CSV, Gnuplot, Console, ...)
|
de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
|
de.lmu.ifi.dbs.elki.utilities.referencepoints |
Package containing strategies to obtain reference points
Shared code for various algorithms that use reference points.
|
de.lmu.ifi.dbs.elki.utilities.scaling.outlier |
Scaling of Outlier scores, that require a statistical analysis of the occurring values
|
Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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MaterializedRelation
Represents a single representation.
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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DBIDView
Pseudo-representation that is the object ID itself.
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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AbstractRelation
Abstract base class for relations.
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DoubleRelation
Interface for double-valued relations.
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ModifiableRelation
Relations that allow modification.
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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DoubleRelation
Interface for double-valued relations.
|
Class and Description |
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DoubleRelation
Interface for double-valued relations.
|
Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
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Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
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Relation
An object representation from a database.
|
Class and Description |
---|
DoubleRelation
Interface for double-valued relations.
|
Class and Description |
---|
Relation
An object representation from a database.
|
Class and Description |
---|
Relation
An object representation from a database.
|
Class and Description |
---|
Relation
An object representation from a database.
|
Class and Description |
---|
DoubleRelation
Interface for double-valued relations.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.