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New Approaches in Classification and Data Analysis

  • Conference proceedings
  • © 1994

Overview

Editors:
  1. Edwin Diday

    1. Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Le Chesnay, France

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  2. Yves Lechevallier

    1. Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Le Chesnay, France

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  3. Martin Schader

    1. Universität Mannheim, Mannheim, Germany

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  4. Patrice Bertrand

    1. Université Paris IX Dauphine, Paris Cedex 16, France

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  5. Bernard Burtschy

    1. TELECOM-Paris, Paris, France

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Table of contents (79 papers)

  1. Front Matter

    Pages I-XII
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  2. General aspects in classification and data analysis

    1. Front Matter

      Pages 1-1
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    2. Classification and Clustering: Problems for the Future

      • Hans H. Bock
      Pages 3-24

    3. From classifications to cognitive categorization: the example of the road lexicon

      • Danièle Dubois, Dominique Fleury
      Pages 25-35

    4. A review of graphical methods in Japan — from histogram to dynamic display —

      • Masahiro Mizuta
      Pages 36-44

    5. New Data and New Tools: A Hypermedia Environment for Navigating Statistical Knowledge in Data Science

      • Noburu Ohsumi
      Pages 45-54

    6. On the logical necessity and priority of a monothetic conception of class, and on the consequent inadequacy of polythetic accounts of category and categorization

      • J. P. Sutcliffe
      Pages 55-63

    7. Research and Applications of Quantification Methods in East Asian Countries

      • Yutaka Tanaka, Tomoyuki Tarumi, Myung-Hoe Huh
      Pages 64-71

  3. Methodological aspects of classification

    1. Front Matter

      Pages 73-73
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    2. Dissimilarity analysis, hierarchical and tree-like classification

      1. Algorithms for a geometrical P.C.A. with the <i>L</i> <sub>1</sub>-norm
        • Mohammed Benayade, Bernard Fichet
        Pages 75-84
      2. Comparison of hierarchical classifications
        • Taoufik Benkaraache, Bernard Van Cutsem
        Pages 85-92
      3. On quadripolar Robinson dissimilarity matrices
        • Frank Critchley
        Pages 93-101
      4. An Ordered Set Approach to Neutral Consensus Functions
        • Gary D. Crown, Melvin F. Janowitz, Robert C. Powers
        Pages 102-110
      5. From Apresjan Hierarchies and Bandelt-Dress Weak hierarchies to Quasi-hierarchies
        • Jean Diatta, Bernard Fichet
        Pages 111-118
      6. Spanning trees and average linkage clustering
        • A. Guenoche
        Pages 119-127
      7. Adjustments of tree metrics based on minimum spanning trees
        • Bruno Leclerc
        Pages 128-135
      8. The complexity of the median procedure for binary trees
        • F. R. McMorris, Michael A. Steel
        Pages 136-140

    3. Probabilistic and statistical approaches for clustering

      1. A multivariate analysis of a series of variety trials with special reference to classification of varieties
        • Tadeusz Caliński, Stanisław Czajka, Zygmunt Kaczmarek
        Pages 141-148
      2. Quality control of mixture. Application: The grass
        • Philippe Trcourt
        Pages 149-154
      3. Mixture Analysis with Noisy Data
        • Michael P. Windham, Adele Cutler
        Pages 155-160
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Keywords

Editors and Affiliations

  • Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt, Le Chesnay, France

    Edwin Diday, Yves Lechevallier

  • Universität Mannheim, Mannheim, Germany

    Martin Schader

  • Université Paris IX Dauphine, Paris Cedex 16, France

    Patrice Bertrand

  • TELECOM-Paris, Paris, France

    Bernard Burtschy

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