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Kaufman L., Rousseeuw P.J. Finding Groups in Data: An Introduction to Cluster Analysis

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Kaufman L., Rousseeuw P.J. Finding Groups in Data: An Introduction to Cluster Analysis
Hoboken, New Jersey: John Wiley & Sons, Inc., 2005. – 355 p.
Current statistical software packages contain only a few clustering techniques and they are not the more modern methods. This forced us to write new programs, the use of which is described in the book. Their present version is for IBM PC and compatible machines, but the source codes are very portable and have run on several types of mainframes without problems.
Partitioning Around Medoids (Program PAM).
Clustering Large Applications (Program CLARA).
Fuzzy Analysis (Program FANNY).
Agglomerative Nesting (Program AGNES).
Divisive Analysis (Program DIANA).
Monothetic Analysis (Program MONA).
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