Uses of Interface
elki.clustering.kmedoids.initialization.KMedoidsInitialization

Packages that use KMedoidsInitialization

Package	Description
elki.application.experiments	Packaged experiments to make them easy to reproduce.
elki.clustering.kmeans.initialization	Initialization strategies for k-means.
elki.clustering.kmedoids	K-medoids clustering (PAM).
elki.clustering.kmedoids.initialization
elki.clustering.silhouette	Silhouette clustering algorithms.
elki.index.idistance	iDistance is a distance based indexing technique, using a reference points embedding.

Uses of KMedoidsInitialization in elki.application.experiments

Fields in elki.application.experiments declared as KMedoidsInitialization

Modifier and Type	Field	Description
private KMedoidsInitialization<DBID>	ORLibBenchmark.init	Initialization method.
private KMedoidsInitialization<DBID>	ORLibBenchmark.Par.init	Initialization method.

Constructors in elki.application.experiments with parameters of type KMedoidsInitialization

Constructor	Description
ORLibBenchmark(java.net.URI file, java.lang.Class<? extends ClusteringAlgorithm<?>> alg, KMedoidsInitialization<DBID> init, int k, RandomFactory rnd)	Constructor.

Uses of KMedoidsInitialization in elki.clustering.kmeans.initialization

Classes in elki.clustering.kmeans.initialization that implement KMedoidsInitialization

Modifier and Type	Class	Description
class	FarthestPoints<O>	K-Means initialization by repeatedly choosing the farthest point (by the minimum distance to earlier points).
class	FarthestSumPoints<O>	K-Means initialization by repeatedly choosing the farthest point (by the sum of distances to previous objects).
class	FirstK<O>	Initialize K-means by using the first k objects as initial means.
class	KMeansPlusPlus<O>	K-Means++ initialization for k-means.
class	RandomlyChosen<O>	Initialize K-means by randomly choosing k existing elements as initial cluster centers.

Uses of KMedoidsInitialization in elki.clustering.kmedoids

Fields in elki.clustering.kmedoids declared as KMedoidsInitialization

Modifier and Type	Field	Description
protected KMedoidsInitialization<O>	AlternatingKMedoids.initializer	Method to choose initial means.
protected KMedoidsInitialization<V>	AlternatingKMedoids.Par.initializer	Initialization method.
protected KMedoidsInitialization<O>	PAM.initializer	Method to choose initial means.
protected KMedoidsInitialization<O>	PAM.Par.initializer	Method to choose initial means.

Methods in elki.clustering.kmedoids that return types with arguments of type KMedoidsInitialization

Modifier and Type	Method	Description
protected java.lang.Class<? extends KMedoidsInitialization>	FastPAM.Par.defaultInitializer()
protected java.lang.Class<? extends KMedoidsInitialization>	PAM.Par.defaultInitializer()	Default initialization method.

Constructors in elki.clustering.kmedoids with parameters of type KMedoidsInitialization

Constructor	Description
AlternatingKMedoids(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
CLARA(Distance<? super V> distance, int k, int maxiter, KMedoidsInitialization<V> initializer, int numsamples, double sampling, boolean keepmed, RandomFactory random)	Constructor.
EagerPAM(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
FastCLARA(Distance<? super V> distance, int k, int maxiter, KMedoidsInitialization<V> initializer, double fasttol, int numsamples, double sampling, boolean keepmed, RandomFactory random)	Constructor.
FasterCLARA(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer, int numsamples, double sampling, boolean keepmed, RandomFactory random)	Constructor.
FasterPAM(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
FastPAM(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
FastPAM(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer, double fasttol)	Constructor.
FastPAM1(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
PAM(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
ReynoldsPAM(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
SingleAssignmentKMedoids(Distance<? super O> distance, int k, KMedoidsInitialization<O> initializer)	Constructor.

Uses of KMedoidsInitialization in elki.clustering.kmedoids.initialization

Classes in elki.clustering.kmedoids.initialization that implement KMedoidsInitialization

Modifier and Type	Class	Description
class	AlternateRefinement<O>	Meta-Initialization for k-medoids by performing one (or many) k-means-style iteration.
class	BUILD<O>	PAM initialization for k-means (and of course, for PAM).
class	GreedyG<O>	Initialization method for k-medoids that combines the Greedy (PAM BUILD) with "alternate" refinement steps.
class	KMedoidsKMedoidsInitialization<O>	Initialize k-medoids with k-medoids, for methods such as PAMSIL. This could also be used to initialize, e.g., PAM with CLARA.
class	LAB<O>	Linear approximative BUILD (LAB) initialization for FastPAM (and k-means).
class	ParkJun<O>	Initialization method proposed by Park and Jun.

Fields in elki.clustering.kmedoids.initialization declared as KMedoidsInitialization

Modifier and Type	Field	Description
private KMedoidsInitialization<O>	AlternateRefinement.inner	Inner initialization.
private KMedoidsInitialization<O>	AlternateRefinement.Par.inner	Inner initialization.

Constructors in elki.clustering.kmedoids.initialization with parameters of type KMedoidsInitialization

Constructor	Description
AlternateRefinement(KMedoidsInitialization<O> inner, int maxiter)	Constructor.

Uses of KMedoidsInitialization in elki.clustering.silhouette

Methods in elki.clustering.silhouette that return types with arguments of type KMedoidsInitialization

Modifier and Type	Method	Description
protected java.lang.Class<? extends KMedoidsInitialization>	FastMSC.Par.defaultInitializer()
protected java.lang.Class<? extends KMedoidsInitialization>	PAMSIL.Par.defaultInitializer()

Constructors in elki.clustering.silhouette with parameters of type KMedoidsInitialization

Constructor	Description
FasterMSC(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
FastMSC(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
PAMMEDSIL(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.
PAMSIL(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.

Uses of KMedoidsInitialization in elki.index.idistance

Fields in elki.index.idistance declared as KMedoidsInitialization

Modifier and Type	Field	Description
(package private) KMedoidsInitialization<V>	InMemoryIDistanceIndex.Factory.initialization	Initialization method.
(package private) KMedoidsInitialization<V>	InMemoryIDistanceIndex.Factory.Par.initialization	Initialization method.
private KMedoidsInitialization<O>	InMemoryIDistanceIndex.initialization	Initialization method.

Constructors in elki.index.idistance with parameters of type KMedoidsInitialization

Constructor	Description
Factory(Distance<? super V> distance, KMedoidsInitialization<V> initialization, int k)	Constructor.
InMemoryIDistanceIndex(Relation<O> relation, DistanceQuery<O> distance, KMedoidsInitialization<O> initialization, int numref)	Constructor.