Uses of Class
jsat.clustering.dissimilarity.DistanceMetricDissimilarity

Packages that use DistanceMetricDissimilarity

Package	Description
jsat.clustering.dissimilarity

Uses of DistanceMetricDissimilarity in jsat.clustering.dissimilarity

Subclasses of DistanceMetricDissimilarity in jsat.clustering.dissimilarity

Modifier and Type	Class and Description
class	AverageLinkDissimilarity Also known as Group-Average Agglomerative Clustering (GAAC) and UPGMA, this measure computer the dissimilarity by summing the distances between all possible data point pairs in the union of the clusters.
class	CentroidDissimilarity Average similarity of all data point pairs between clusters, inter-cluster pairs are ignored.
class	CompleteLinkDissimilarity Measures the dissimilarity of two clusters by returning the value of the maximal dissimilarity of any two pairs of data points where one is from each cluster.
class	LanceWilliamsDissimilarity This class provides a base implementation of a Lance Williams (LW) Dissimilarity measure, which is updatable.
class	MedianDissimilarity Median link dissimilarity, also called WPGMC.
class	SingleLinkDissimilarity Measures the dissimilarity of two clusters by returning the minimum dissimilarity between the two closest data points from the clusters, ie: the minimum distance needed to link the two clusters.
class	WardsDissimilarity An implementation of Ward's method for hierarchical clustering.

Methods in jsat.clustering.dissimilarity that return DistanceMetricDissimilarity

Modifier and Type	Method and Description
abstract DistanceMetricDissimilarity	DistanceMetricDissimilarity.clone()