Distance Class

public static class Distance

Public NotInheritable Class Distance

public ref class Distance abstract sealed

[<AbstractClassAttribute>]
[<SealedAttribute>]
type Distance = class end

Inheritance

Object    Distance

Sets of multidimensional points are referred to as clusters.

Distances within a cluster

The Euclidean distances among points in a cluster are returned by method Euclidean(DoubleMatrix) as a distance matrix. The complete diameter of a cluster, i.e. the maximal Euclidean distance among two cluster points, is instead computed by method CompleteDiameter(DoubleMatrix).

Distances between clusters

Distances between points belonging to different clusters can be summarized in terms of linkages. Method SingleLinkage computes the shortest distance between pairs of individuals belonging to different clusters, while CompleteLinkage and AverageLinkage compute the maximum and the average of those distances, respectively. Method CentroidLinkage the distance between the mean points (centroids) of the specified clusters.

Reference