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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Mathematical Classification and Clustering (Paperback, Softcover reprint of the original 1st ed. 1996)
Loot Price: R1,351
Discovery Miles 13 510
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Mathematical Classification and Clustering (Paperback, Softcover reprint of the original 1st ed. 1996)
Series: Nonconvex Optimization and Its Applications, 11
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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."
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