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Although clustering- the classifying of objects into meaningful sets- is an important procedure, cluster analysis as a multivariate statistical procedure is poorly understood. Techniques for clustering, spurred by the computer revolution, have developed very quickly, but many social scientists have not kept up with developments.This volume is an introduction to cluster analysis for professionals, as well as advanced undergraduate and graduate students who have little or no background in the subject. Reaching across disciplines, Aldenderfer and Blashfield collate the newest information on cluster analysis -- providing the reader with a pragmatic guide to its current uses, statistical techniques, validation methods, and compatible software programes.

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