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Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization) - Softcover
Synopsis
Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
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Review
From the reviews:
"This book is a collection of papers presented at the Tenth Conference of the International Federation of Classification Societies. The contributors are primarily statisticians and computer scientists ... . The typesetting and page layout are well done, and the graphics are very clear. ... The main market for this book would be libraries, and researchers wanting a record of recent advances in statistical learning." (Jeffrey D. Picka, Technometrics, Vol. 49 (3), August, 2007)
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2006
- ISBN 10 3540344152
- ISBN 13 9783540344155
- BindingPaperback
- LanguageEnglish
- Number of pages370
- EditorBatagelj Vladimir, Bock Hans-Hermann, Ferligoj Anuška, Žiberna Aleš
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Data Science and Classification
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Springer, 2006
ISBN 10: 3540344152
ISBN 13: 9783540344155
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Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization)
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