Uses of Package
elki.data.model

Packages that use elki.data.model

Package	Description
elki.algorithm	Miscellaneous 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.dbscan	DBSCAN and its generalizations.
elki.clustering.dbscan.parallel	Parallel versions of Generalized DBSCAN.
elki.clustering.em	Expectation-Maximization clustering algorithm for Gaussian Mixture Modeling (GMM).
elki.clustering.em.models
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.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.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.synthetic.bymodel	Generator using a distribution model specified in an XML configuration file.
elki.datasource.parser	Parsers for different file formats and data types.
elki.evaluation.clustering	Evaluation of clustering results.
elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
elki.outlier.clustering	Clustering based outlier detection.
elki.outlier.subspace	Subspace outlier detection methods.
elki.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
elki.result	Result types, representation and handling.
elki.result.textwriter	Text serialization (CSV, Gnuplot, Console, ...).
elki.visualization	Visualization package of ELKI.
elki.visualization.opticsplot	Code for drawing OPTICS plots.
elki.visualization.visualizers.optics	Visualizers that do work on OPTICS plots.
elki.visualization.visualizers.scatterplot.cluster	Visualizers for clustering results 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.

Classes in elki.data.model used by elki.algorithm

Class	Description
CorrelationAnalysisSolution	A solution of correlation analysis is a matrix of equations describing the dependencies.

Classes in elki.data.model used by elki.clustering

Class	Description
MeanModel	Cluster model that stores a mean for the cluster.
Model	Base interface for Model classes.
PrototypeModel	Cluster model that stores a prototype for each cluster.
SimplePrototypeModel	Cluster model that stores a prototype for each cluster.

Classes in elki.data.model used by elki.clustering.affinitypropagation

Class	Description
MedoidModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.clustering.biclustering

Class	Description
BiclusterModel	Wrapper class to provide the basic properties of a Bicluster.
BiclusterWithInversionsModel	This code was factored out of the Bicluster class, since not all biclusters have inverted rows.

Classes in elki.data.model used by elki.clustering.correlation

Class	Description
CorrelationModel	Cluster model using a filtered PCA result and an centroid.
DimensionModel	Cluster model additionally providing a cluster dimensionality.
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.dbscan

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.dbscan.parallel

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.em

Class	Description
EMModel	Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
MeanModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.clustering.em.models

Class	Description
EMModel	Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.hierarchical.birch

Class	Description
KMeansModel	Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).
MeanModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.clustering.hierarchical.extraction

Class	Description
DendrogramModel	Model for dendrograms, provides the height of this subtree.
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.kcenter

Class	Description
SimplePrototypeModel	Cluster model that stores a prototype for each cluster.

Classes in elki.data.model used by elki.clustering.kmeans

Class	Description
KMeansModel	Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).
MeanModel	Cluster model that stores a mean for the cluster.
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.kmeans.initialization

Class	Description
MeanModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.clustering.kmeans.parallel

Class	Description
KMeansModel	Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).

Classes in elki.data.model used by elki.clustering.kmeans.quality

Class	Description
MeanModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.clustering.kmeans.spherical

Class	Description
KMeansModel	Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).

Classes in elki.data.model used by elki.clustering.kmedoids

Class	Description
MedoidModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.clustering.meta

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.onedimensional

Class	Description
ClusterModel	Generic cluster model.

Classes in elki.data.model used by elki.clustering.optics

Class	Description
OPTICSModel	Model for an OPTICS cluster

Classes in elki.data.model used by elki.clustering.silhouette

Class	Description
MedoidModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.clustering.subspace

Class	Description
Model	Base interface for Model classes.
SubspaceModel	Model for Subspace Clusters.

Classes in elki.data.model used by elki.clustering.svm

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.trivial

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.clustering.uncertain

Class	Description
KMeansModel	Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).

Classes in elki.data.model used by elki.data

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.data.model

Class	Description
BiclusterModel	Wrapper class to provide the basic properties of a Bicluster.
ClusterModel	Generic cluster model.
DendrogramModel	Model for dendrograms, provides the height of this subtree.
MeanModel	Cluster model that stores a mean for the cluster.
Model	Base interface for Model classes.
PrototypeModel	Cluster model that stores a prototype for each cluster.
SimplePrototypeModel	Cluster model that stores a prototype for each cluster.

Classes in elki.data.model used by elki.data.synthetic.bymodel

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.datasource.parser

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.evaluation.clustering

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.evaluation.outlier

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.outlier.clustering

Class	Description
MeanModel	Cluster model that stores a mean for the cluster.

Classes in elki.data.model used by elki.outlier.subspace

Class	Description
SubspaceModel	Model for Subspace Clusters.

Classes in elki.data.model used by elki.outlier.trivial

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.result

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.result.textwriter

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.visualization

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.visualization.opticsplot

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.visualization.visualizers.optics

Class	Description
OPTICSModel	Model for an OPTICS cluster

Classes in elki.data.model used by elki.visualization.visualizers.scatterplot.cluster

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by elki.visualization.visualizers.visunproj

Class	Description
Model	Base interface for Model classes.

Classes in elki.data.model used by tutorial.clustering

Class	Description
MeanModel	Cluster model that stores a mean for the cluster.
Model	Base interface for Model classes.
SimplePrototypeModel	Cluster model that stores a prototype for each cluster.