{"product_id":"cluster-analysis-hardcover","title":"Cluster Analysis - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eBrian S. Everitt\u003c\/b\u003e (Author), \u003cb\u003eSabine Landau\u003c\/b\u003e (Author), \u003cb\u003eMorven Leese\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eCluster 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.\u003c\/p\u003e \u003cp\u003eThis fifth edition of the highly successful \u003ci\u003eCluster Analysis\u003c\/i\u003e includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.\u003c\/p\u003e \u003cp\u003eReal 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.\u003c\/p\u003e \u003cp\u003eKey Features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis\u003c\/li\u003e \u003cli\u003eProvides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies.\/li\u0026gt;\u003c\/li\u003e \u003cli\u003eUpdates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePractitioners and researchers working in cluster analysis and data analysis will benefit from this book.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eCluster Analysis: 5th Edition\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eBrian S. Everitt\u003c\/b\u003e, Professor Emeritus, King's College, London, UK\u003cbr\u003e \u003cb\u003eSabine Landau, Morven Leese\u003c\/b\u003e and \u003cb\u003eDaniel Stahl\u003c\/b\u003e, Institute of Psychiatry, King's College London, UK\u003c\/p\u003e \u003cp\u003eCluster 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.\u003c\/p\u003e \u003cp\u003eThis 5th edition of the highly successful \u003ci\u003eCluster Analysis\u003c\/i\u003e includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.\u003c\/p\u003e \u003cp\u003eReal 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.\u003c\/p\u003e \u003cp\u003eKey Features: \u003c\/p\u003e \u003cp\u003e- Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis.\u003cbr\u003e - Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies\u003cbr\u003e - Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data.\u003c\/p\u003e \u003cp\u003ePractitioners and researchers working in cluster analysis and data analysis will benefit from this book.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBrian S. Everitt\u003c\/b\u003e, Head of the Biostatistics and Computing Department and Professor of Behavioural Statistics, Kings College London. He has authored\/ co-authored over 50 books on statistics and approximately 100 papers and other articles, and is also joint editor of \u003ci\u003eStatistical Methods in Medical Research\u003c\/i\u003e.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr Sabine Landau\u003c\/b\u003e, Head of Department of Biostatistics, Institute of Psychiatry, Kings College London.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr Morven Leese\u003c\/b\u003e, Health Service and Population Research, Institute of Psychiatry, Kings College London.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr Daniel Stahl\u003c\/b\u003e, Deptartment of Biostatistics \u0026amp; Computing, Institute of Psychiatry, Kings College London.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.1 x 6.2 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 21, 2011\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47337048703225,"sku":"9780470749913","price":149.69,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/YmTQGlOnkV9780470749913.webp?v=1769674733","url":"https:\/\/bookscloud.io\/products\/cluster-analysis-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}