LEADER 03474nam 2200625 450 001 9910140852403321 005 20230421162933.0 010 $a1-280-76795-2 010 $a9786613678720 010 $a1-118-30300-8 010 $a0-470-97781-7 010 $a0-470-97780-9 035 $a(CKB)2670000000066100 035 $a(EBL)661789 035 $a(OCoLC)707079229 035 $a(SSID)ssj0000467754 035 $a(PQKBManifestationID)12166504 035 $a(PQKBTitleCode)TC0000467754 035 $a(PQKBWorkID)10490955 035 $a(PQKB)10036631 035 $a(MiAaPQ)EBC661789 035 $a(PPN)17023035X 035 $a(EXLCZ)992670000000066100 100 $a20130418h20102010 u|| 0 101 0 $aeng 135 $aur|n||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCluster Analysis /$fBrian S. Everitt, Sabine Landau, Morven Leese 205 $a5th edition 210 1$aChicester :$cWiley,$d2010. 210 4$dİ2010 215 $a1 online resource (xii, 330 pages) $cillustrations 225 1 $aWiley Series in Probability and Statistics ;$vv.886 300 $aDescription based upon print version of record. 311 1 $a0-470-74991-1 327 $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 $aCluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. 330 $aKey Features:? Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis.? Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies? Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data.Practitioners and researchers working in cluster analysis and data analysis will benefit from this book. 410 0$aWiley Series in Probability and Statistics 606 $aCluster analysis 615 0$aCluster analysis. 676 $a519.5/3 676 $a519.53 700 $aEveritt$b Brian$056108 702 $aLandau$b Sabine 702 $aLeese$b Morven 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910140852403321 996 $aCluster Analysis$9508462 997 $aUNINA