Uses of Class
elki.data.model.MedoidModel

Packages that use MedoidModel

Package	Description
elki.clustering.affinitypropagation	Affinity Propagation (AP) clustering.
elki.clustering.kmedoids	K-medoids clustering (PAM).
elki.clustering.silhouette	Silhouette clustering algorithms.

Uses of MedoidModel in elki.clustering.affinitypropagation

Methods in elki.clustering.affinitypropagation that return types with arguments of type MedoidModel

Modifier and Type	Method	Description
private Clustering<MedoidModel>	AffinityPropagation.buildResult(ArrayDBIDs ids, int[] assignment)	Build the clustering result.
Clustering<MedoidModel>	AffinityPropagation.run(Relation<O> relation)	Perform affinity propagation clustering.

Uses of MedoidModel in elki.clustering.kmedoids

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

Modifier and Type	Method	Description
Clustering<MedoidModel>	AlternatingKMedoids.run(Relation<O> relation)
Clustering<MedoidModel>	AlternatingKMedoids.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	CLARA.run(Relation<V> relation)
Clustering<MedoidModel>	CLARA.run(Relation<V> relation, int k, DistanceQuery<? super V> distQ)
Clustering<MedoidModel>	CLARANS.run(Relation<O> relation)	Run CLARANS clustering.
Clustering<MedoidModel>	CLARANS.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	EagerPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastCLARA.run(Relation<V> relation)
Clustering<MedoidModel>	FastCLARA.run(Relation<V> relation, int k, DistanceQuery<? super V> distQ)
Clustering<MedoidModel>	FastCLARANS.run(Relation<V> relation)
Clustering<MedoidModel>	FasterCLARA.run(Relation<O> relation)
Clustering<MedoidModel>	FasterCLARA.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FasterPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastPAM1.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	KMedoidsClustering.run(Relation<O> relation)	Run k-medoids clustering.
Clustering<MedoidModel>	KMedoidsClustering.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)	Run k-medoids clustering with a given distance query. Not a very elegant API, but needed for some types of nested k-medoids.
Clustering<MedoidModel>	PAM.run(Relation<O> relation)
Clustering<MedoidModel>	PAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	ReynoldsPAM.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	SingleAssignmentKMedoids.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
protected static Clustering<MedoidModel>	PAM.wrapResult(DBIDs ids, WritableIntegerDataStore assignment, ArrayModifiableDBIDs medoids, java.lang.String name)	Wrap the clustering result.

Uses of MedoidModel in elki.clustering.silhouette

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

Modifier and Type	Method	Description
Clustering<MedoidModel>	FasterMSC.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	FastMSC.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	PAMMEDSIL.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)
Clustering<MedoidModel>	PAMSIL.run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)