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Classification, Clustering, and Data Analysis

Recent Advances and Applications

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Krzysztof Jajuga

    1. Wroclaw University of Economics, Wroclaw, Poland

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  2. Andrzej Sokołowski

    1. Department of Statistics, Cracow University of Economics, Cracow, Poland

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  3. Hans-Hermann Bock

    1. Institute of Statistics, Technical University of Aachen, Aachen, Germany

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Table of contents (53 papers)

  1. Front Matter

    Pages I-XI
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  2. Clustering and Discrimination

    1. Front Matter

      Pages 1-1
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    2. Clustering

      1. Some Thoughts about Classification
        • Frank Hampel
        Pages 5-26
      2. Partial Defuzzification of Fuzzy Clusters
        • Slavka Bodjanova
        Pages 27-33
      3. A New Clustering Approach, Based on the Estimation of the Probability Density Function, for Gene Expression Data
        • Noël Bonnet, Michel Herbin, Jérôme Cutrona, Jean-Marie Zahm
        Pages 35-42
      4. Two-mode Partitioning: Review of Methods and Application of Tabu Search
        • William Castillo, Javier Trejos
        Pages 43-51
      5. Dynamical Clustering of Interval Data: Optimization of an Adequacy Criterion Based on Hausdorff Distance
        • Marie Chavent, Yves Lechevallier
        Pages 53-60
      6. Removing Separation Conditions in a 1 against 3-Components Gaussian Mixture Problem
        • Bernard Garel, Franck Goussanou
        Pages 61-73
      7. Obtaining Partitions of a Set of Hard or Fuzzy Partitions
        • Allan D. Gordon, Maurizio Vichi
        Pages 75-79
      8. Clustering for Prototype Selection using Singular Value Decomposition
        • A. K. V. Sai Jayram, M. Narasimha Murty
        Pages 81-88
      9. Clustering in High-dimensional Data Spaces
        • Fionn Murtagh
        Pages 89-96
      10. Quantization of Models: Local Approach and Asymptotically Optimal Partitions
        • Klaus Pötzelberger
        Pages 97-105
      11. The Performance of an Autonomous Clustering Technique
        • Yoshiharu Sato
        Pages 107-112
      12. Cluster Analysis by Restricted Random Walks
        • Joachim Schöll, Elisabeth Paschinger
        Pages 113-120
      13. Missing Data in Hierarchical Classification of Variables — a Simulation Study
        • Ana Lorga da Silva, Helena Bacelar-Nicolau, Gilbert Saporta
        Pages 121-128

    3. Cluster Validation

      1. Representation and Evaluation of Partitions
        • Alain Guénoche, Henri Garreta
        Pages 131-138
      2. Assessing the Number of Clusters of the Latent Class Model
        • François-Xavier Jollois, Mohamed Nadif, Gérard Govaert
        Pages 139-146
      3. Validation of Very Large Data Sets Clustering by Means of a Nonparametric Linear Criterion
        • Israel Lerman, Joaquim Pinto da Costa, Helena Silva
        Pages 147-157
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Keywords

About this book

The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent referees, a procedure which resulted in the selection of the 53 articles presented in this volume. These articles relate to theoretical investigations as well as to practical applications and cover a wide range of topics in the broad domain of classifi­ cation, data analysis and related methods. If we try to classify the wealth of problems, methods and approaches into some representative (partially over­ lapping) groups, we find in particular the following areas: • Clustering • Cluster validation • Discrimination • Multivariate data analysis • Statistical methods • Symbolic data analysis • Consensus trees and phylogeny • Regression trees • Neural networks and genetic algorithms • Applications in economics, medicine, biology, and psychology. Given the international orientation of IFCS conferences and the leading role of IFCS in the scientific world of classification, clustering and data anal­ ysis, this volume collects a representative selection of current research and modern applications in this field and serves as an up-to-date information source for statisticians, data analysts, data mining specialists and computer scientists.

Editors and Affiliations

  • Wroclaw University of Economics, Wroclaw, Poland

    Krzysztof Jajuga

  • Department of Statistics, Cracow University of Economics, Cracow, Poland

    Andrzej Sokołowski

  • Institute of Statistics, Technical University of Aachen, Aachen, Germany

    Hans-Hermann Bock

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