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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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