Editors:
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Table of contents (50 papers)
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Front Matter
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Mathematical and Statistical Methods for Classification and Data Analysis
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Front Matter
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Classification and clustering methods
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Statistical and probabilistic aspects of clustering and classifications
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Statistical, geometrical and algebraic methods for data analysis
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About this book
Editors and Affiliations
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Institut für Statistik und Wirtschaftsmathematik, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany
Hans-Hermann Bock
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Institut für Medizinische Biometrie, Philipps-Universität Marburg, Marburg, Germany
Peter Ihm
Bibliographic Information
Book Title: Classification, Data Analysis, and Knowledge Organization
Book Subtitle: Models and Methods with Applications
Editors: Hans-Hermann Bock, Peter Ihm
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-642-76307-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin · Heidelberg 1991
Softcover ISBN: 978-3-540-53483-9Published: 05 February 1991
eBook ISBN: 978-3-642-76307-6Published: 06 December 2012
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XIII, 394
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Operations Research/Decision Theory, Data Structures
Industry Sectors: Biotechnology, Finance, Business & Banking