Description
| Abstract: | An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering. |
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| Physical Description: | 1 online resource (xiv, 342 pages) : illustrations |
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| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
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| Bibliography: | Includes bibliographical references (pages 320-331) and index. |
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| ISBN: | 9780470316801
0470316802 |
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| ISSN: | 0271-6356 |
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