Advertisement

New Approaches in Classification and Data Analysis

  • Edwin Diday
  • Yves Lechevallier
  • Martin Schader
  • Patrice Bertrand
  • Bernard Burtschy

Table of contents

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

  3. Methodological aspects of classification

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

      1. Mohammed Benayade, Bernard Fichet
        Pages 75-84
      2. Taoufik Benkaraache, Bernard Van Cutsem
        Pages 85-92
      3. Frank Critchley
        Pages 93-101
      4. Gary D. Crown, Melvin F. Janowitz, Robert C. Powers
        Pages 102-110
      5. F. R. McMorris, Michael A. Steel
        Pages 136-140
    3. Probabilistic and statistical approaches for clustering

      1. Tadeusz Caliński, Stanisław Czajka, Zygmunt Kaczmarek
        Pages 141-148
      2. Michael P. Windham, Adele Cutler
        Pages 155-160
    4. Assessment of classifications and the number of clusters

    5. Clustering methods and computational aspects

    6. Discrimination and learning

  4. Data-specific approaches

    1. Front Matter
      Pages 325-325
    2. Sequence analysis in molecular biology

      1. William H. E. Day, F. R. McMorris
        Pages 327-346
      2. William H. E. Day, Allan D. Gordon
        Pages 347-355
      3. I. C. Lerman, J. Nicolas, B. Tallur, P. Peter
        Pages 370-377
    3. Symbolic data for classification and data analysis

      1. Francisco de A. T. de Carvalho
        Pages 387-394
      2. Mireille Gettler Summa, Emmanuel Périnel, Jocelyne Ferraris
        Pages 405-413

About these proceedings

Keywords

ANOVA Classification Cluster-Analyse Clustering Datenanalyse Factor analysis Klassifikation Knowledge-based Systems Median Probability theory Wissensbasierte Systeme best fit cluster analysis clustering algorithm data analysis

Editors and affiliations

  • Edwin Diday
    • 1
  • Yves Lechevallier
    • 1
  • Martin Schader
    • 2
  • Patrice Bertrand
    • 3
  • Bernard Burtschy
    • 4
  1. 1.Institut National de Recherche en Informatique et en Automatique (INRIA)Rocquencourt, Le ChesnayFrance
  2. 2.Universität MannheimMannheimGermany
  3. 3.Université Paris IX DauphineParis Cedex 16France
  4. 4.TELECOM-ParisParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-51175-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-58425-4
  • Online ISBN 978-3-642-51175-2
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site