Mathematical Classification and Clustering

Language: English

Published by Springer, Copernicus Sep 2011, 2011

146138057X / 9781461380573

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.…

Seller Inventory # 9781461380573

Title
Mathematical Classification and Clustering
Author
Boris Mirkin
Publisher
Springer, Copernicus Sep 2011
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
146138057X
ISBN 13
9781461380573
Item weight
711 grams
Dimensions
240x160x25 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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