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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書誌詳細
第一著者: Kaufman, Leonard
フォーマット: 図書
言語:Undetermined
出版事項: 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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245 0 |a Finding groups in data : 
245 3 |b An introduction to cluster analysis 
245 0 |c Leonard Kaufman, Peter J. Rousseeuw 
260 |a Hoboken, N.J. 
260 |b Wiley 
260 |c c2005 
520 |a 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. 
650 |a Cluster analysis,Toán phân tích 
904 |i QHiếu 
980 |a Trung tâm Học liệu Trường Đại học Cần Thơ