Uses of Package
elki.clustering

Packages that use elki.clustering

Package	Description
elki.application.experiments	Packaged experiments to make them easy to reproduce.
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.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.parallel	Parallelized implementations of k-means.
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.evaluation.clustering	Evaluation of clustering results.
elki.outlier.clustering	Clustering based outlier detection.
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

Classes in elki.clustering used by elki.application.experiments

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

Classes in elki.clustering used by elki.clustering

Class	Description
BetulaLeafPreClustering	BETULA-based clustering algorithm that simply treats the leafs of the CFTree as clusters.
CanopyPreClustering	Canopy pre-clustering is a simple preprocessing step for clustering.
CFSFDP	Clustering by fast search and find of density peaks (CFSFDP) is a density-based clustering method similar to mean-shift clustering.
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.
Leader	Leader clustering algorithm.
NaiveMeanShiftClustering	Mean-shift based clustering algorithm.
SNNClustering	Shared nearest neighbor clustering.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
AbstractProjectedClustering	Abstract superclass for projected clustering algorithms, like PROCLUS and ORCLUS.
AbstractProjectedClustering.Par	Parameterization class.
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
AbstractProjectedClustering	Abstract superclass for projected clustering algorithms, like PROCLUS and ORCLUS.
AbstractProjectedClustering.Par	Parameterization class.
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

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

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.

Classes in elki.clustering used by tutorial.clustering

Class	Description
ClusteringAlgorithm	Interface for Algorithms that are capable to provide a Clustering as Result. in general, clustering algorithms are supposed to implement the Algorithm-Interface.