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Classification, Clustering, and Data Analysis

Recent Advances and Applications

  • Krzysztof Jajuga
  • Andrzej Sokołowski
  • Hans-Hermann Bock

Table of contents

  1. Front Matter
    Pages I-XI
  2. Clustering and Discrimination

    1. Front Matter
      Pages 1-1
    2. Clustering

      1. Frank Hampel
        Pages 5-26
      2. Slavka Bodjanova
        Pages 27-33
      3. Noël Bonnet, Michel Herbin, Jérôme Cutrona, Jean-Marie Zahm
        Pages 35-42
      4. Allan D. Gordon, Maurizio Vichi
        Pages 75-79
      5. A. K. V. Sai Jayram, M. Narasimha Murty
        Pages 81-88
      6. Fionn Murtagh
        Pages 89-96
      7. Joachim Schöll, Elisabeth Paschinger
        Pages 113-120
      8. Ana Lorga da Silva, Helena Bacelar-Nicolau, Gilbert Saporta
        Pages 121-128
    3. Cluster Validation

      1. Alain Guénoche, Henri Garreta
        Pages 131-138
      2. François-Xavier Jollois, Mohamed Nadif, Gérard Govaert
        Pages 139-146
      3. Israel Lerman, Joaquim Pinto da Costa, Helena Silva
        Pages 147-157
    4. Discrimination

  3. Multivariate Data Analysis and Statistics

    1. Front Matter
      Pages 191-191
    2. Multivariate Data Analysis

    3. Statistical Methods

    4. Symbolic Data Analysis

      1. Lynne Billard, Edwin Diday
        Pages 281-288
      2. Marc Csernel, Francisco A. T. de Carvalho
        Pages 289-296
      3. Simona Korenjak-Černe, Vladimir Batagelj
        Pages 319-327
      4. Mathieu Vrac, Edwin Diday, Suzanne Winsberg, Mohamed Mehdi Limam
        Pages 329-337
    5. Consensus Trees and Phylogenetics

      1. Branko Kavšek, Nada Lavrač, Anuška Ferligoj
        Pages 349-357
      2. François-Joseph Lapointe, Guy Cucumel
        Pages 359-364
      3. Claudine Levasseur, François-Joseph Lapointe
        Pages 365-369
      4. Heiko A. Schmidt, Arndt von Haeseler
        Pages 379-388
    6. Regression Trees

    7. Neural Networks and Genetic Algorithms

      1. Fabrice Rossi, Brieuc Conan-Guez
        Pages 427-434

About these proceedings

Introduction

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.

Keywords

Analysis Cluster Sample Cluster analysis Estimator Measure Regression analysis STATISTICA Statistical Methods algorithms bioinformatics clustering data analysis linear optimization modeling optimization

Editors and affiliations

  • Krzysztof Jajuga
    • 1
  • Andrzej Sokołowski
    • 2
  • Hans-Hermann Bock
    • 3
  1. 1.Wroclaw University of EconomicsWroclawPoland
  2. 2.Department of StatisticsCracow University of EconomicsCracowPoland
  3. 3.Institute of StatisticsTechnical University of AachenAachenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-56181-8
  • Copyright Information Springer-Verlag Berlin · Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43691-1
  • Online ISBN 978-3-642-56181-8
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site