Package smile.clustering.linkage

Cluster dissimilarity measures.

See: Description

Class Summary

Class	Description
CompleteLinkage	Complete linkage.
Linkage	A measure of dissimilarity between clusters (i.e.
SingleLinkage	Single linkage.
UPGMALinkage	Unweighted Pair Group Method with Arithmetic mean (also known as average linkage).
UPGMCLinkage	Unweighted Pair Group Method using Centroids (also known as centroid linkage).
WardLinkage	Ward's linkage.
WPGMALinkage	Weighted Pair Group Method with Arithmetic mean.
WPGMCLinkage	Weighted Pair Group Method using Centroids (also known as median linkage).

Package smile.clustering.linkage Description

Cluster dissimilarity measures. An agglomerative hierarchical clustering builds the hierarchy from the individual elements by progressively merging clusters. The linkage criteria determines the distance between clusters (i.e. sets of observations) based on as a pairwise distance function between observations. Some commonly used linkage criteria are

• Maximum or complete linkage clustering
• Minimum or single-linkage clustering
• Mean or average linkage clustering, or UPGMA
• Unweighted Pair Group Method using Centroids, or UPCMA (also known as centroid linkage)
• Weighted Pair Group Method with Arithmetic mean, or WPGMA.
• Weighted Pair Group Method using Centroids, or WPGMC (also known as median linkage)
• Ward's linkage