Classification, clustering and data analysis
Subtitle: recent advances and applications
By: Krzystof Jajuga, Andrzej Sokołowski, Hans-Hermann Bock, eds.
Contributors: Jajuga, Krzysztof.; Sokołowski, Andrzej.; Bock, Hans Hermann.
Series: Studies in classification, data analysis, and knowledge organization
Publisher: Springer
Published: 2002
Place of publication: Berlin; New York
Language: eng
Number of pages: 492
Subjects: Cluster analysis -- Congresses; Pattern perception -- Congresses; Mathematical statistics -- Congresses
Genres: Congresses.
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.
Notes: Collection of papers presented at the Eighth Conference of the International Federation of Classification Societies, held in Cracow, Poland, July 16-19, 2002.

Includes bibliographical references and index.