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|Additional Physical Format:||Online version:
Romesburg, H. Charles, 1938-
Cluster analysis for researchers.
Belmont, Calif. : Lifetime Learning Publications, ©1984
|All Authors / Contributors:||
H Charles Romesburg
|Description:||xiii, 334 pages : illustrations ; 25 cm|
|Contents:||A road map to this book. --
Part. 1. Overview of cluster analysis: Basics--The six steps of cluster analysis ; General features of cluster analysis ; Applications of cluster analysis in retroductive and hypothetico-deductive science ; Applications of cluster analysis in making classifications ; Applications of cluster analysis in planning and engineering. --
Part 2. How to do cluster analysis in depth: Standardizing the data matrix ; Resemblance coefficients for quantitative attributes ; Clustering methods ; Resemblance coefficients for qualitative attributes ; Special resemblance coefficients for ordinal-scaled attributes ; Resemblance coefficients for mixtures of quantitative and qualitative attributes ; Bypassing the data matrix ; Matrix correlation ; How to present the results of a cluster analysis . --
Part 3. How to use cluster analysis to make classifications: How to make classifications ; How to identify objects into a classification ; Philosophy of classification and identification. --
Part 4. Cluster analysis --Philosophy: The six steps of research ; The roles of information, tolerances, and norms in research ; Framing and validating in cluster analysis ; Examples illustrating how to frame and validate applications of cluster analysis ; The orders of patterns of similarity --
Appendix 1. Books and articles on cluster analysis and other multivariate methods. --
Appendix 2. Computer programs for cluster analysis.
|Responsibility:||H. Charles Romesburg.|