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Linkage Methods

The Linkage type exposes the following members.

Methods
  NameDescription
Public methodStatic memberCentroidLinkage
Computes the distance between two clusters as the difference between centroids.
Public methodStatic memberCompleteLinkage
Computes the distance between two clusters as the greatest distance between any two objects in the different clusters (furthest neighbors).
Public methodStatic memberMedianLinkage
Computes the distance between two clusters as the difference between centroids, using the size of each cluster as a weighting factor.
Public methodStatic memberSingleLinkage
Computes the distance between two clusters as the distance of the two closest objects (nearest neighbors) in the clusters.
Public methodStatic memberUnweightedAverageLinkage
Computes the distance between two clusters as the average distance between all pairs of objects in the two different clusters.
Public methodStatic memberWardLinkage
Computes the distance between two clusters using Ward's method.
Public methodStatic memberWeightedAverageLinkage
Computes the distance between two clusters as the average distance between all pairs of objects in the two different clusters, using the size of each cluster as a weighting factor.
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