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Advances in Data Science and Classification

Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98) Università “La Sapienza”, Rome, 21–24 July, 1998

  • Alfredo Rizzi
  • Maurizio Vichi
  • Hans-Hermann Bock

Table of contents

  1. Front Matter
    Pages I-XV
  2. Methodologies in Classification

    1. Front Matter
      Pages 1-1
    2. Clustering and Classification

      1. J. Douglas Carroll, Anil Chaturvedi
        Pages 3-14
      2. John C. Gower, Gavin J. S. Ross
        Pages 21-28
      3. Simona Korenjak-Černe, Vladimir Batagelj
        Pages 43-48
      4. J. A. Martín-Fernández, C. Barceló-Vidal, V. Pawlowsky-Glahn
        Pages 49-56
    3. Comparison and Consensus Classifications

      1. Chikio Hayashi, Kazue Yamaoka
        Pages 65-72
      2. François-Joseph Lapointe
        Pages 73-80
      3. Joseph L. Thorley, Mark Wilkinson, Mike Charleston
        Pages 91-98
    4. Fuzzy Clustering and Fuzzy Methods

      1. Slavka Bodjanova
        Pages 99-104
      2. Sadaaki Miyamoto, Kazutaka Umayahara
        Pages 105-110
      3. Mina Ryoke, Yoshiteru Nakamori, Hiroyuki Tamura
        Pages 111-116
      4. Mika Sato-Ilic, Yoshiharu Sato
        Pages 117-124
      5. Sandrine Turpin-Dhilly, Claudine Botte-Lecocq
        Pages 125-130
    5. Optimization in Classification and Constrained Classification

      1. Vladimir Batagelj, Anuška Ferligoj
        Pages 137-144
      2. Tommaso Gastaldi, Donatella Vicari
        Pages 145-151
      3. Laurent Guéguen, Régine Vignes, Jacques Lebbe
        Pages 153-160
      4. Isabella Lari, Maurizio Maravalle, Bruno Simeone
        Pages 161-170
      5. Masahiro Mizuta
        Pages 171-176
      6. N. Nicoloyannis, M. Terrenoire, D. Tounissoux
        Pages 177-184
      7. Javier Trejos, Alex Murillo, Eduardo Piza
        Pages 185-190
    6. Probabilistic Modelling Methods in Classification and Pattern Recognition

      1. Halima Bensmail, Jacqueline J. Meulman
        Pages 191-196
      2. László Györfi, Márta Horváth
        Pages 197-204
  3. Other Approaches for Classification: Discrimination, Neural Network, Regression Tree

    1. Front Matter
      Pages 219-219
    2. Discrimination and Classification

    3. Neural Network and Classification

      1. Hans-Hermann Bock
        Pages 265-277
      2. Detlef Nauck, Andreas Nürnberger, Rudolf Kruse
        Pages 287-294
    4. Regression Tree

      1. Jan Klaschka, Roberta Siciliano, Jaromír Antoch
        Pages 295-302
      2. Guy Michel, Jean Luc Lambert, Bruno Cremilleux, Michel Henry-Amar
        Pages 303-309
      3. Roger W. Payne, Simon A. Harding
        Pages 319-322
  4. Factorial Methods

    1. Front Matter
      Pages 323-323
    2. Factorial Methods for Multivariate Data

About these proceedings

Introduction

International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).

Keywords

Classification Clusteranalyse Clustering Fuzzy Logic Fuzzy-Logik Klaasifikation Maxima Neural Networks Neuronale Netze STATISTICA data analysis linear optimization optimization statistische Datenanalyse

Editors and affiliations

  • Alfredo Rizzi
    • 1
  • Maurizio Vichi
    • 2
  • Hans-Hermann Bock
    • 3
  1. 1.Dipartimento di Statisticà, Probabilità e Statistiche ApplicateUniversità di Roma “La Sapienza”RomaItalia
  2. 2.Dipartimento di Metodi Quantitativi e Teoria EconomicaUniversità “G. D’Annunzio” di ChietiPescaraItalia
  3. 3.Institut für Statistik und WirtschaftsmathematikRheinisch-Westfälische Technische Hochschule (RWTH) AachenAachenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-72253-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64641-9
  • Online ISBN 978-3-642-72253-0
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site