Classification, Clustering, and Data Analysis
Recent Advances and Applications
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Author
Contributions
- Sokołowski, Andrzej - Contributor
- Bock, Hans-Hermann - Contributor
Publication
2002 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
127,000 words, Guess
Page Count
508 pages
Physical Format
Electronic resource
Identifiers
- Internet Archiveclassificationcl00hamp
- ISBN-103642561810
- ISBN-139783642561818
- OCLC Control Number840292150
- Better World Books9783642561818
and 1 more
- Open LibraryOL27024557M
Classifications
- LCCQA75.5-76.95
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
Series Statement
- Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
- Studies in classification, data analysis, and knowledge organization
Links
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