Overview
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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Methodological aspects of classification
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Probabilistic and statistical approaches for clustering
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Assessment of classifications and the number of clusters
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Clustering methods and computational aspects
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Discrimination and learning
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Keywords
Editors and Affiliations
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