Uses of Interface
jsat.clustering.dissimilarity.ClusterDissimilarity

Packages that use ClusterDissimilarity

Package	Description
jsat.clustering.dissimilarity
jsat.clustering.evaluation
jsat.clustering.hierarchical

Uses of ClusterDissimilarity in jsat.clustering.dissimilarity

Subinterfaces of ClusterDissimilarity in jsat.clustering.dissimilarity

Modifier and Type	Interface and Description
interface	UpdatableClusterDissimilarity This interface extends the contract of a ClusterDissimilarity for more efficient computation.

Classes in jsat.clustering.dissimilarity that implement ClusterDissimilarity

Modifier and Type	Class and Description
class	AbstractClusterDissimilarity This base class does not currently provide any inheritable functionality, but stores static methods.
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	DistanceMetricDissimilarity A base class for Dissimilarity measures that are build ontop the use of some distance metric.
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 ClusterDissimilarity

Modifier and Type	Method and Description
ClusterDissimilarity	ClusterDissimilarity.clone()
abstract ClusterDissimilarity	AbstractClusterDissimilarity.clone()

Methods in jsat.clustering.dissimilarity with parameters of type ClusterDissimilarity

Modifier and Type	Method and Description
static double[][]	AbstractClusterDissimilarity.createDistanceMatrix(DataSet dataSet, ClusterDissimilarity cd) Creates an upper triangular matrix containing the distance between all points in the data set.

Uses of ClusterDissimilarity in jsat.clustering.evaluation

Constructors in jsat.clustering.evaluation with parameters of type ClusterDissimilarity

Constructor and Description
DunnIndex(IntraClusterEvaluation ice, ClusterDissimilarity cd) Creates a new DunnIndex

Uses of ClusterDissimilarity in jsat.clustering.hierarchical

Constructors in jsat.clustering.hierarchical with parameters of type ClusterDissimilarity

Constructor and Description
SimpleHAC(ClusterDissimilarity disMeasure)