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"Cluster Analysis for Researchers" I started using Dr. Romesburg's book, Cluster Analysis for Researchers early in my academic career. I am now on my third copy of the book because I keep lending my copy to others and forget to whom I gave the book.



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The primary input for cluster analysis is a measure of similarity between customers, such as (a) correlation coefficients, (b) distance measures, and (c) association coefficients. The following are the basic steps involved in cluster analysis:

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cluster analysis, k-means cluster, and two-step cluster. They are all described in this chapter. If you have a large data file (even 1,000 cases is large for clustering) or a mixture of continuous and categorical variables, you should use the SPSS two-step procedure. If you have a small data set and want to easily examine solutions with increasing numbers of clusters, you may want to use

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clustering, one would like to arm the researcher with the power of discovery, and model based clustering has an objective criterion for doing this as can be …

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Cluster analysis for researchers. By H.C. Romesburg. Belmont, CA: Lifetime Learning Publications. 1984. xiii + 334 pp., figures, tables, appendices, answers, glossary

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Abstract. We provide comprehensive and advanced knowledge of cluster analysis knowledge. We first introduce the principles of cluster analysis and outline the steps and decisions involved.

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"Cluster Analysis for Researchers" I started using Dr. Romesburg's book, Cluster Analysis for Researchers early in my academic career. I am now on my third copy of the book because I keep lending my copy to others and forget to whom I gave the book.

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