Classification, clustering and data analysis
recent advances and applications
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Contributions
- Jajuga, Krzysztof. - Contributor
- Sokołowski, Andrzej. - Contributor
- Bock, Hans Hermann. - Contributor
Publication
2002 - Springer, Berlin
Language
English
Word Count
123,000 words, Guess
Page Count
492 pages
Identifiers
- Open LibraryOL18177820M
- ISBN-10354043691X
- OCLC Control Number49719355
- Library of Congress Control Number2002070480
- Goodreads1042023
and 1 more
- LibraryThing7574047
Classifications
- LCCQA278 .I53 2002
Description
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.
Subjects
Genres
- Congresses.
Series Statement
- Studies in classification, data analysis, and knowledge organization
Other Editions
- Classification, clustering and data analysis: recent advances and applications
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