Classification, Clustering, and Data Analysis - Recent Advances and Applications (Paperback, 2002 ed.)

This book deals with recent developments in classification and data analysis and presents new topics which are of central interest to modern statistics. In particular, these include: classification models and clustering methods, multivariate data analysis, symbolic data, neural networks and learning devices, phylogeny and bioinformatics, new software systems for classification and data analysis, as well as applications in social, economic, biological, medical and other sciences. The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Classification, Data Analysis, and Knowledge Organization
Release date:	2001
First published:	2002
Editors:	Krzystof Jajuga • Andrzej Sokolowski • Hans Hermann Bock
Dimensions:	235 x 155 x 29mm (L x W x T)
Format:	Paperback
Pages:	508
Edition:	2002 ed.
ISBN-13:	978-3-540-43691-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
LSN:	3-540-43691-X
Barcode:	9783540436911

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