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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