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Item Details
Title: MATHEMATICAL CLASSIFICATION AND CLUSTERING
By: Boris Mirkin
Format: Paperback

List price: £79.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 146138057X
ISBN 13: 9781461380573
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 27 September, 2011
Edition: Softcover reprint of the original 1st ed. 1996
Series: Nonconvex Optimization and Its Applications 11
Pages: 448
Synopsis: I am very happy to have this opportunity to present the work of Boris Mirkin, a distinguished Russian scholar in the areas of data analysis and decision making methodologies. The monograph is devoted entirely to clustering, a discipline dispersed through many theoretical and application areas, from mathematical statistics and combina- torial optimization to biology, sociology and organizational structures. It compiles an immense amount of research done to date, including many original Russian de- velopments never presented to the international community before (for instance, cluster-by-cluster versions of the K-Means method in Chapter 4 or uniform par- titioning in Chapter 5). The author's approach, approximation clustering, allows him both to systematize a great part of the discipline and to develop many in- novative methods in the framework of optimization problems. The optimization methods considered are proved to be meaningful in the contexts of data analysis and clustering. The material presented in this book is quite interesting and stimulating in paradigms, clustering and optimization. On the other hand, it has a substantial application appeal. The book will be useful both to specialists and students in the fields of data analysis and clustering as well as in biology, psychology, economics, marketing research, artificial intelligence, and other scientific disciplines. Panos Pardalos, Series Editor.
Illustrations: 448 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
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