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Classification, Clustering and Data Analysis

AUTHOR: Krzystof Jajuga (Editor), et al
ISBN: 354043691X

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         Editorial Review

Classification, Clustering and Data Analysis
- Book Review,
by Krzystof Jajuga (Editor), et al


Book 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.


Book Info
Deals with recent developments in classification and data analysis and presents new topics which are of central interested to modern statistics. Presents a long list of useful methods for classification, clustering and data analysis. Softcover.


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         Book Review

Classification, Clustering and Data Analysis
- Book Reviews,
by Krzystof Jajuga (Editor), et al

Classification, Clustering, and Data Analysis

FROM THE PUBLISHER

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.




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