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  • Conference proceedings
  • © 2000

Data Analysis, Classification, and Related Methods

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Table of contents (65 papers)

  1. Front Matter

    Pages I-XIII
  2. Cluster Analysis

    1. Front Matter

      Pages 1-1
    2. Cluster Analysis and Mixture Models

      1. Classifier Probabilities
        • J. A. Hartigan
        Pages 3-15
      2. Cluster Analysis Based on Data Depth
        • Richard Hoberg
        Pages 17-22
      3. An Autonomous Clustering Technique
        • Yoshiharu Sato
        Pages 23-28
      4. Double Versus Optimal Grade Clusterings
        • Alicja Ciok
        Pages 41-46
      5. A Bootstrap Procedure for Mixture Models
        • Suzanne Winsberg, Geert deSoete
        Pages 59-62
    3. Fuzzy Clustering

      1. A New Criterion for Obtaining a Fuzzy Partition from a Hybrid Fuzzy/Hierarchical Clustering Method
        • Arnaud Devillez, Patrice Billaudel, Gérard Villermain Lecolier
        Pages 63-68
      2. Application of Fuzzy Mathematical Morphology for Unsupervised Color Pixels Classification
        • A. Gillet, C. Botte-Lecocq, L. Macaire, J.-G. Postaire
        Pages 69-75
      3. A Hyperbolic Fuzzt <i>k</i>-Means Clustering and Algorithm for Neural Networks
        • Norio Watenable, Tadashi Imaizumi, Toshiko Kikuchi
        Pages 77-82
    4. Special Purpose Classification Procedures and Applications

      1. A Toolkit for Development of the Domain-Oriented Dictionaries for Structuring Document Flows
        • Pavel P. Makagonov, Mikhail A. Alexandrov, Konstantin Sboychakov
        Pages 83-88
      2. Classification of Single Malt Whiskies
        • David Wishart
        Pages 89-94
    5. Verification and Comparison of Clusterings

About this book

This volume contains a selection of papers presented at the Seven~h Confer­ ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally sub­ mitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered suitable for publication in this book. The present book contains original research contributions, innovative ap­ plications and overview papers in various fields within data analysis, classifi­ cation, and related methods. Given the fast publication process, the research results are still up-to-date and coincide with their actual presentation at the IFCS-2000 conference. The topics captured are: • Cluster analysis • Comparison of clusterings • Fuzzy clustering • Discriminant analysis • Mixture models • Analysis of relationships data • Symbolic data analysis • Regression trees • Data mining and neural networks • Pattern recognition • Multivariate data analysis • Robust data analysis • Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientific information data analysis, classification, related methods, and their applica­ concerning tions.

Editors and Affiliations

  • University of Groningen Heymans Institute (PA), Groningen, The Netherlands

    Henk A. L. Kiers

  • Facultés Universitaires Notre-Dame de la Paix, University of Namur, Namur, Belgium

    Jean-Paul Rasson

  • Data Theory Group Department of Education, Leiden University, Leiden, The Netherlands

    Patrick J. F. Groenen

  • Lehrstuhl für Wirtschaftsinformatik III Schloß, University of Mannheim, Mannheim, Germany

    Martin Schader

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access