hierClustering

Agglomerative hierarchical clustering

Contents

Syntax

Description

level=hierClustering(distMat, method) returns the result of agglomerative hierarchical clustering

• distMat: 2D distance matrix of data points, with diagonal elements of "INF"
• method: "single" for single-linkage, "complete" for complete-linkage
• level: data structure for a hierarchical clustering result
  • level(i).distMat: distance matrix at level i
  • level(i).height: the minimum distance measure to form level i
  • level(i).merged: the two clusters (of level i-1) being merged to form level i
  • level(i).cluster{j}: a vector denotes the data points in j-th cluster of level i

Example

dataNum=50;
dim=2;
data=rand(dim, dataNum);
distMat=distPairwise(data, data);
distMat(1:dataNum+1:dataNum^2)=inf;	% Diagonal elements should always be inf.
level=hierClustering(distMat);
hierClusteringPlot(level);	% Plot the dendrogram

See Also

hierClusteringPlot, hierClusteringAnim.

Published with MATLAB® R2018a