Editors:
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Table of contents (79 papers)
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Front Matter
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General aspects in classification and data analysis
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Front Matter
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Methodological aspects of classification
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Front Matter
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Dissimilarity analysis, hierarchical and tree-like classification
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Probabilistic and statistical approaches for clustering
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Editors and Affiliations
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Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Le Chesnay, France
Edwin Diday, Yves Lechevallier
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Universität Mannheim, Mannheim, Germany
Martin Schader
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Université Paris IX Dauphine, Paris Cedex 16, France
Patrice Bertrand
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TELECOM-Paris, Paris, France
Bernard Burtschy
Bibliographic Information
Book Title: New Approaches in Classification and Data Analysis
Editors: Edwin Diday, Yves Lechevallier, Martin Schader, Patrice Bertrand, Bernard Burtschy
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-642-51175-2
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1994
Softcover ISBN: 978-3-540-58425-4Published: 10 November 1994
eBook ISBN: 978-3-642-51175-2Published: 14 March 2013
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XII, 693
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Econometrics, Probability Theory and Stochastic Processes, Statistics for Business, Management, Economics, Finance, Insurance, Physiological, Cellular and Medical Topics, Statistics for Life Sciences, Medicine, Health Sciences