Initializes a new instance of the Linkage class

Computes the distance between two clusters as the difference between centroids.

Computes the distance between two clusters as the greatest distance between any two objects in the different clusters (furthest neighbors).

Determines whether the specified Object is equal to the current Object.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Computes the distance between two clusters as the difference between centroids, using the size of each cluster as a weighting factor.

Computes the distance between two clusters as the distance of the two closest objects (nearest neighbors) in the clusters.

Returns a String that represents the current Object.

Computes the distance between two clusters as the average distance between all pairs of objects in the two different clusters.

Computes the distance between two clusters using Ward's method.

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.

Centroid linkage function. Encapsulates Linkage.CentroidLinkage as a Linkage.Function delegate.

Complete (farthest-neighbor) linkage function. Encapsulates Linkage.CompleteLinkage as a Linkage.Function delegate.

Median linkage function. Encapsulates Linkage.MedianLinkage as a Linkage.Function delegate.

Single (nearest-neighbor) linkage function. Encapsulates Linkage.SingleLinkage as a Linkage.Function delegate.

Unweighted average linkage function. Encapsulates Linkage.UnweightedAverageLinkage as a Linkage.Function delegate.

Ward linkage function. Encapsulates Linkage.WardLinkage as a Linkage.Function delegate.

Weighted average linkage function. Encapsulates Linkage.WeightedAverageLinkage as a Linkage.Function delegate.