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GraphClus, a MATLAB program for cluster analysis using graph theory
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DOI：10.1016/j.cageo.2008.05.007.png)
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Abstract
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Cluster analysis is used in numerous scientific disciplines. A method of cluster analysis based on graph theory is discussed and a MATLAB (TM) code for its implementation is presented. The algorithm is based on the number of variables that are similar between samples. By changing the similarity criterion in a stepwise fashion, a hierarchical group structure develops, and can be displayed by a dendrogram. Three indexes describe the homogeneity of a given variable in a group, the heterogeneity of that variable between two groups, and the usefulness of that variable in distinguishing two groups. The algorithm is applied to both a synthetic dataset and a set of trace element analyses of lavas from Mount Etna in order to compare GraphClus to other Cluster analysis algorithms. (C) 2008 Elsevier Ltd. All rights reserved.
Keywords:
Cluster analysis
Graph theory
Classification
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