Uses of Class
elki.data.model.MedoidModel
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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. -
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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)
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