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Classification, Clustering, and Data Mining Applications

Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15–18 July 2004

  • David Banks
  • Frederick R. McMorris
  • Phipps Arabie
  • Wolfgang Gaul

Table of contents

  1. Front Matter
    Pages I-XIV
  2. New Methods in Cluster Analysis

    1. Front Matter
      Pages 1-1
    2. Fionn Murtagh
      Pages 3-14
    3. Alain Guénoche
      Pages 15-23
    4. Javier Trejos, Alex Murillo, Eduardo Piza
      Pages 25-32
    5. Francisco de A. T. de Carvalho, Yves Lechevallier, Renata M. C. R. de Souza
      Pages 33-41
    6. Douglas Steinley
      Pages 53-60
    7. Aïcha El Golli, Brieuc Conan-Guez, Fabrice Rossi
      Pages 61-68
    8. Mohamed Nadif, Gérard Govaert
      Pages 69-76
    9. Sarnath Ramnath, Mynul H. Khan, Zubair Shams
      Pages 95-103
  3. Modern Nonparametrics

    1. Front Matter
      Pages 121-121
    2. Masahiro Mizuta, Shintaro Hiro
      Pages 123-139
    3. Herbert K. H. Lee
      Pages 141-150
    4. Brieuc Conan-Guez, Fabrice Rossi
      Pages 157-165
    5. Cristian Preda, Gilbert Saporta
      Pages 167-176
    6. Leanna L. House, David Banks
      Pages 197-206
  4. Classification and Dimension Reduction

  5. Symbolic Data Analysis

    1. Front Matter
      Pages 297-297
    2. Rosanna Verde
      Pages 299-317
    3. Renata M.CR. de Souza, Francisco de A. T. de Carvalho, Camilo P. Tenório, Yves Lechevallier
      Pages 351-360
    4. Sergio R. M. Queiroz, Francisco de A. T. de Carvalho
      Pages 361-369
    5. Georges Hébrail, Yves Lechevallier
      Pages 381-391
  6. Taxonomy and Medicine

    1. Front Matter
      Pages 393-393
    2. Tobias Dezulian, Mike Steel
      Pages 395-416
    3. Florent Domenach, Bruno Leclerc
      Pages 417-428
    4. F. Afonso, L. Billard, E. Diday
      Pages 429-437
    5. Vladimir Makarenkov, Alix Boc, Abdoulaye Baniré Diallo
      Pages 439-446
    6. Susan J. Simmons, Xiaodong Lin, Chris Beecher, Young Truong, S. Stanley Young
      Pages 447-456
    7. Gilles Clermont, Carson C. Chow, Gregory M. Constantine, Yoram Vodovotz, John Bartels
      Pages 457-467

About these proceedings

Introduction

Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.

Keywords

Cluster analysis Graph Projection pursuit Sim Vertex algorithms clustering complexity computer science data analysis data mining database expectation–maximization algorithm modeling optimization

Editors and affiliations

  • David Banks
    • 1
  • Frederick R. McMorris
    • 2
  • Phipps Arabie
    • 3
  • Wolfgang Gaul
    • 4
  1. 1.Leanna House Institute of Statistics and Decision SciencesDuke UniversityDurhamUSA
  2. 2.Department of MathematicsIllinois Institute of TechnologyChicagoUSA
  3. 3.Faculty of ManagementRutgers UniversityNewarkUSA
  4. 4.Institute of Decision TheoryUniversity of KarlsruheKarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-17103-1
  • Copyright Information Springer-Verlag Berlin · Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22014-5
  • Online ISBN 978-3-642-17103-1
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site
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