Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMedoidsPAM

Packages that use KMedoidsPAM

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations

Uses of KMedoidsPAM in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Subclasses of KMedoidsPAM in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Modifier and Type	Class and Description
class	CLARA<V> Clustering Large Applications (CLARA) is a clustering method for large data sets based on PAM, partitioning around medoids (KMedoidsPAM) based on sampling.
class	FastCLARA<V> Clustering Large Applications (CLARA) with the KMedoidsFastPAM improvements, to increase scalability in the number of clusters.
class	KMedoidsFastPAM<V> FastPAM: An improved version of PAM, that is usually O(k) times faster.
class	KMedoidsFastPAM1<V> FastPAM1: A version of PAM that is O(k) times faster, i.e., now in O((n-k)²).
class	KMedoidsPAMReynolds<V> The Partitioning Around Medoids (PAM) algorithm with some additional optimizations proposed by Reynolds et al.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans that return KMedoidsPAM

Modifier and Type	Method and Description
protected KMedoidsPAM<V>	KMedoidsPAM.Parameterizer.makeInstance()