Cooperation in Classification and Data Analysis

Proceedings of Two German-Japanese Workshops

  • Wolfgang Gaul
  • Hans-Hermann Bock
  • Tadashi Imaizumi
  • Akinori Okada
Conference proceedings

DOI: 10.1007/978-3-642-00668-5

Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Classification and Visualization

    1. Front Matter
      Pages 1-1
    2. H.-H. Bock
      Pages 3-12
    3. C. Borgelt, R. Kruse
      Pages 13-25
    4. M. Wiedenbeck, S. Krolak-Schwerdt
      Pages 41-51
    5. F. Rehm, F. Klawonn, R. Kruse
      Pages 53-60
  3. Methods in Fields

    1. Front Matter
      Pages 1-1
    2. S. Scholz, R. Wagner
      Pages 99-106
    3. D. Niu, T. Tarumi
      Pages 123-130
    4. T. Knorr, L. Schmidt-Thieme, C. Johner
      Pages 131-140
    5. A. Schönhuth, I. G. Costa, A. Schliep
      Pages 151-159
    6. R. Wagner, J. Ontrup, S. Scholz
      Pages 161-168

About these proceedings

Introduction

This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.

Keywords

Clustering STATISTICA Variable algorithms biology classification data analysis model multidimensional scaling

Editors and affiliations

  • Wolfgang Gaul
  • Hans-Hermann Bock
  • Tadashi Imaizumi
  • Akinori Okada
  1. 1.Inst. Entscheidungstheorie undUniversität KarlsruheKarlsruheGermany
  2. 2.School of ManagementTama UniversityTama-shi, TokyoJapan
  3. 3.Graduate School of ManagementTama UniversityTama, TokyoJapan

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-00667-8
  • Online ISBN 978-3-642-00668-5
  • Series Print ISSN 1431-8814