Home → Magazine Archive → June 1973 (Vol. 16, No. 6) → A computer generated aid for cluster analysis → Abstract

A computer generated aid for cluster analysis

By Robert L. Ling

Communications of the ACM, Vol. 16 No. 6, Pages 355-361

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A computer generated graphic method, which can be used in conjunction with any hierarchical scheme of cluster analysis, is described and illustrated. The graphic principle used is the representation of the elements of a data matrix of similarities or dissimilarities by computer printed symbols (of character overstrikes) of various shades of darkness, where a dark symbol corresponds to a small dissimilarity. The plots, applied to a data matrix before clustering and to the rearranged matrix after clustering, show at a glance whether clustering brought forth any distinctive clusters. A well-known set of data consisting of the correlations of 24 psychological tests is used to illustrate the comparison of groupings by four methods of factor analysis and two methods of cluster analysis.

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