Uses of Class
elki.clustering.kmedoids.PAM

Packages that use PAM

Package	Description
elki.clustering.kmedoids	K-medoids clustering (PAM).
elki.clustering.silhouette	Silhouette clustering algorithms.

Uses of PAM in elki.clustering.kmedoids

Subclasses of PAM in elki.clustering.kmedoids

Modifier and Type	Class	Description
class	CLARA<V>	Clustering Large Applications (CLARA) is a clustering method for large data sets based on PAM, partitioning around medoids (PAM) based on sampling.
class	EagerPAM<O>	Variation of PAM that eagerly performs all swaps that yield an improvement during an iteration.
class	FastCLARA<V>	Clustering Large Applications (CLARA) with the FastPAM improvements, to increase scalability in the number of clusters.
class	FasterCLARA<O>	Clustering Large Applications (CLARA) with the FastPAM improvements, to increase scalability in the number of clusters.
class	FasterPAM<O>	Variation of FastPAM that eagerly performs any swap that yields an improvement during an iteration.
class	FastPAM<O>	FastPAM: An improved version of PAM, that is usually O(k) times faster.
class	FastPAM1<O>	FastPAM1: A version of PAM that is O(k) times faster, i.e., now in O((n-k)²).
class	ReynoldsPAM<O>	The Partitioning Around Medoids (PAM) algorithm with some additional optimizations proposed by Reynolds et al.
class	SingleAssignmentKMedoids<O>	K-medoids clustering by using the initialization only, then assigning each object to the nearest neighbor.

Methods in elki.clustering.kmedoids that return PAM

Modifier and Type	Method	Description
PAM<O>	PAM.Par.make()

Uses of PAM in elki.clustering.silhouette

Subclasses of PAM in elki.clustering.silhouette

Modifier and Type	Class	Description
class	FasterMSC<O>	Fast and Eager Medoid Silhouette Clustering.
class	FastMSC<O>	Fast Medoid Silhouette Clustering.
class	PAMMEDSIL<O>	Clustering to optimize the Medoid Silhouette coefficient with a PAM-based swap heuristic.
class	PAMSIL<O>	Clustering to optimize the Silhouette coefficient with a PAM-based swap heuristic.