Finding groups in data : An introduction to cluster analysis

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 inter...

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Библиографические подробности
Главный автор: Kaufman, Leonard
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Опубликовано: Hoboken, N.J. Wiley c2005
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
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Итог: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.