LEADER 06003nam 2200769 a 450 001 9910677433703321 005 20240318122309.0 010 $a9786612308055 010 $a9781282308053 010 $a128230805X 010 $a9780470316801 010 $a0470316802 010 $a9780470317488 010 $a0470317485 035 $a(CKB)1000000000687562 035 $a(StDuBDS)AH3916616 035 $a(SSID)ssj0000337684 035 $a(PQKBManifestationID)11278482 035 $a(PQKBTitleCode)TC0000337684 035 $a(PQKBWorkID)10293430 035 $a(PQKB)10073694 035 $a(PPN)159493943 035 $a(Perlego)2760052 035 $a(EXLCZ)991000000000687562 100 $a20050120e20051990 fy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFinding groups in data /$ean introduction to cluster analysis /$fLeonard Kaufman, Peter J. Rousseeuw 210 $aHoboken, N.J. $cWiley-Interscience$dc2005 215 $a1 online resource (xiv, 342 p. )$cill 225 1 $aWiley series in probability and statistics 225 1 $aWiley-Interscience paperback series 300 $aOriginally published: New York: Wiley, 1990. 311 08$a9780471878766 311 08$a0471878766 320 $aIncludes bibliographical references and index. 327 $a1. Introduction. 2. Partitioning Around Medoids (Program PAM). 3. Clustering large Applications (Program CLARA). 4. Fuzzy Analysis. 5. Agglomerative Nesting (Program AGNES). 6. Divisive Analysis (Program DIANA). 7. Monothetic Analysis (Program MONA). Appendix 1. Implementation and Structure of the Programs. Appendix 2. Running the Programs. Appendix 3. Adapting the Programs to Your Needs. Appendix 4. The Program CLUSPLOT. References. Author Index. Subject Index. 330 8 $aPresenting a selection of methods which can deal with most applications, this text looks at the fundamental aspects of cluster analysis, identifying the main approaches to clustering and providing guidance in choosing between the available methods.$bThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well." -Mathematical Reviews "Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature." -Journal of Classification "This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study." -Technometrics 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. The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well." -Mathematical Reviews "Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature." -Journal of Classification "This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study." -Technometrics 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. 410 0$aWiley series in probability and statistics. 410 0$aWiley-Interscience paperback series. 606 $aCluster analysis 606 $aMathematics$2ukslc 606 $aCluster analysis 606 $aMathematical Statistics$2HILCC 606 $aMathematics$2HILCC 606 $aPhysical Sciences & Mathematics$2HILCC 608 $aElectronic books.$2lcsh 615 0$aCluster analysis. 615 7$aMathematics. 615 0$aCluster analysis. 615 7$aMathematical Statistics 615 7$aMathematics 615 7$aPhysical Sciences & Mathematics 676 $a519.53 700 $aKaufman$b Leonard$053760 701 $aRousseeuw$b Peter J$012084 801 0$bStDuBDS 801 1$bStDuBDS 801 2$bStDuBDSZ 801 2$bUkPrAHLS 906 $aBOOK 912 $a9910677433703321 996 $aFinding groups in data$91130937 997 $aUNINA