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010   $a9781280767951
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100   $a20100927d2011      uy         0
101 0 $aeng
135   $aur|n|||||||||
181   $ctxt
182   $cc
183   $acr
200 00$aCluster analysis /$fBrian S. Everitt ... [et al.]
205   $a5th ed.
210   $aHoboken, N.J. $cWiley$d2011
215   $a1 online resource (xii, 330 pages) $cillustrations
225 1 $aWiley series in probability and statistics
300   $aDescription based upon print version of record.
311 08$a9780470749913 
311 08$a0470749911 
320   $aIncludes bibliographical references and index.
327   $aFront Matter -- An Introduction to Classification and Clustering -- Detecting Clusters Graphically -- Measurement of Proximity -- Hierarchical Clustering -- Optimization Clustering Techniques -- Finite Mixture Densities as Models for Cluster Analysis -- Model-Based Cluster Analysis for Structured Data -- Miscellaneous Clustering Methods -- Some Final Comments and Guidelines -- Bibliography -- Index.
330   $a"This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."--$cProvided by publisher.
330   $a"This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics."--$cProvided by publisher.
410  0$aWiley series in probability and statistics.
606   $aCluster analysis
615  0$aCluster analysis.
676   $a519.5/3
701   $aEveritt$b Brian$056108
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910140852403321
996   $aCluster Analysis$9508462
997   $aUNINA