An algorithm and computer program are described for making a conservative test of significance of clustering of data points in a three-variable closed array. Normative compositions of granitic rocks, projected to points in the albite–orthoclase–quartz triangle, have a clustering that is significant at the 99% level, if the proportions of these three minerals are the only variables.

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