{"product_id":"9780471735786","title":"Finding Groups in Data An Introduction to Cluster Analysis","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eFinding Groups in Data\u003c\/h1\u003e\u003ch2\u003eAn Introduction to Cluster Analysis\u003c\/h2\u003e\u003ch3\u003eLeonard Kaufman | Peter J. Rousseeuw\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eThe \u003cb\u003eWiley-Interscience Paperback Series\u003c\/b\u003e 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.\u003c\/p\u003e \u003cp\u003e\"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.\"\u003cbr\u003e—\u003ci\u003e\u003cb\u003eMathematical Reviews\u003c\/b\u003e\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\"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.\"\u003cbr\u003e—\u003ci\u003e\u003cb\u003eJournal of Classification\u003c\/b\u003e\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\"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.\"\u003cbr\u003e—\u003ci\u003e\u003cb\u003eTechnometrics\u003c\/b\u003e\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAn 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.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cb\u003eLEONARD KAUFMAN\u003c\/b\u003e, PhD, is affiliated with Vrije University in Brussels, Belgium. \u003cp\u003e\u003cb\u003ePETER J. ROUSSEEUW\u003c\/b\u003e, PhD, is a Professor in the Department of Mathematics and Computer Science at the University of Antwerp in Belgium.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e25 March 2005\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471735786\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e368\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e18.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44380523397260,"sku":"9780471735786","price":142.16,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471735786_62c010a4-7671-4621-8d26-bfa9bdde5cf9.jpg?v=1780155122","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780471735786","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}