Uses of Package
jsat.clustering.dissimilarity

Packages that use jsat.clustering.dissimilarity

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

Classes in jsat.clustering.dissimilarity used by jsat.clustering.dissimilarity

Class and Description
AbstractClusterDissimilarity This base class does not currently provide any inheritable functionality, but stores static methods.
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.
CentroidDissimilarity Average similarity of all data point pairs between clusters, inter-cluster pairs are ignored.
ClusterDissimilarity This interface provides the basic contract for measuring the dissimilarity between two clusters, and intended for use in Hierarchical Agglomerative Clustering.
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.
DistanceMetricDissimilarity A base class for Dissimilarity measures that are build ontop the use of some distance metric.
LanceWilliamsDissimilarity This class provides a base implementation of a Lance Williams (LW) Dissimilarity measure, which is updatable.
MedianDissimilarity Median link dissimilarity, also called WPGMC.
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.
UpdatableClusterDissimilarity This interface extends the contract of a ClusterDissimilarity for more efficient computation.
WardsDissimilarity An implementation of Ward's method for hierarchical clustering.

Classes in jsat.clustering.dissimilarity used by jsat.clustering.evaluation

Class and Description
ClusterDissimilarity This interface provides the basic contract for measuring the dissimilarity between two clusters, and intended for use in Hierarchical Agglomerative Clustering.

Classes in jsat.clustering.dissimilarity used by jsat.clustering.hierarchical

Class and Description
ClusterDissimilarity This interface provides the basic contract for measuring the dissimilarity between two clusters, and intended for use in Hierarchical Agglomerative Clustering.
LanceWilliamsDissimilarity This class provides a base implementation of a Lance Williams (LW) Dissimilarity measure, which is updatable.
UpdatableClusterDissimilarity This interface extends the contract of a ClusterDissimilarity for more efficient computation.