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Classification, Clustering, and Data Analysis

Recent Advances and Applications

  • Krzysztof Jajuga
  • Andrzej Sokołowski
  • Hans-Hermann Bock

Table of contents

  1. Applications

    1. Front Matter
      Pages 435-435
    2. Ulrich Bohnacker, Lars Dehning, Jürgen Franke, Ingrid Renz
      Pages 437-445
    3. Czesław Domański, Jarosław Kondrasiuk
      Pages 447-453
    4. Andrea Peters, Torsten Hothorn, Berthold Lausen
      Pages 463-470
    5. Paul J. Taylor, Craig Bennell, Brent Snook
      Pages 479-487
  2. Back Matter
    Pages 489-492

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
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