Finding groups in data : an introduction to cluster analysis
著者
書誌事項
Finding groups in data : an introduction to cluster analysis
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
Wiley, c1990
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注記
"A Wiley-Interscience publication."
Bibliography: p. 320-331
Includes indexes
内容説明・目次
内容説明
This text provides an introduction to the practical application of cluster analysis and presents a selection of methods which together can deal with most applications. These methods are chosen for their robustness, consistency and general applicability. The main approaches to clustering are studied and guidance on choosing between the available methods is given. The authors also discuss various types of data, including interval-scaled and binary variables as well as similarity data, and explain ways in which these can be transformed prior to clustering. Numerous exercises are also included.
目次
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). Appendices. References. Author Index. Subject Index.
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