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HIERARCHICAL CLUSTERING PACKAGE SYMBOL

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DistanceMatrix

DistanceMatrix[list]
gives a matrix of distances or dissimilarities between the elements of list.

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To use , you first need to load the Hierarchical Clustering Package using .

The elements of list can be numeric lists, matrices, or tensors, lists of Boolean elements, or strings. All data elements must have the same dimensions.

returns a symmetric matrix suitable for use by DirectAgglomerate.

The method used to compute dissimilarities can be selected with the DistanceFunction option.

With the default setting DistanceFunction->Automatic, uses the square of EuclideanDistance for numeric data, JaccardDissimilarity for Boolean data, and EditDistance for string data.

The setting for DistanceFunction can be any distance or dissimilarity function or a pure function f defining a distance between two values.

Basic Examples (1)

Distance matrix for a list of numbers:

Needs["HierarchicalClustering`"]

Distance matrix for a list of numbers:

Out[2]=

Distance matrix using ManhattanDistance:

DirectAgglomerate

Hierarchical Clustering Package

Hierarchical Clustering Package

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