Call number:
PIK M 311-09-0021
Description / Table of Contents:
Contents: 1 A roadmap to this book; 2 Basics - the six steps of cluster analysis; 3 General features of cluster analysis; 4 Applications of cluster analysis in retroductive and hypothetico-deductive science; 5 Applications of cluster analysis in making classifications; 6 Applications of cluster analysis in planning and engineering; 7 Standardizing the data matrix; 8 Resemblance coefficients for quantitative attributes; 9 Clustering methods; 10 Resemblance coefficients for qualitative attributes; 11 Special resemblance coefficients for ordinal-scaled attributes; 13 Bypassing the data matrix; 14 Matrix correlation; 15 How to present the result of a cluster analysis; 16 How to make classifications; 17 How to identify objects into a classification; 18 Philosophy of classification and identification; 19 The six steps of research; 20 The roles of information, tolerances, and norms in research; 21 Framing and validating in cluster analysis; 22 Examples illustrating how to frame and validate applications of cluster analysis; 23 The order of patterns of similarity; Appendices
Type of Medium:
Monograph available for loan
Pages:
XII, 334 S. : graph. Darst.
ISBN:
1411606175
Location:
A 18 - must be ordered
Branch Library:
PIK Library
