Chapter 9. Unsupervised Divisive Classification

  1. Edwin Diday2 and
  2. Monique Noirhomme-Fraiture3
  1. Jean-Paul Rasson,
  2. Jean-Yves Pirçon,
  3. Pascale Lallemand and
  4. Séverine Adans

Published Online: 28 JAN 2008

DOI: 10.1002/9780470723562.ch9

Symbolic Data Analysis and the SODAS Software

Symbolic Data Analysis and the SODAS Software

How to Cite

Rasson, J.-P., Pirçon, J.-Y., Lallemand, P. and Adans, S. (2008) Unsupervised Divisive Classification, in Symbolic Data Analysis and the SODAS Software (eds E. Diday and M. Noirhomme-Fraiture), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470723562.ch9

Editor Information

  1. 2

    Université Paris IX-Dauphine, LISE-CEREMADE, Place du Marechal de Lattre de Tassigny, Paris Cedex 16, France F-75775

  2. 3

    Facultés Universitaires Notre-Dame de la Paix, Faculté d'Informatique, Rue Grandgagnage, 21, Namur, Belgium, B-5000

Author Information

  1. Facultés Universitaires Notre-Dame de la Paix, Départment de Mathematique, Rempart de la Vièrge, 8, Namur, Belgium, B-5000

Publication History

  1. Published Online: 28 JAN 2008
  2. Published Print: 18 JAN 2007

ISBN Information

Print ISBN: 9780470018835

Online ISBN: 9780470723562

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Keywords:

  • divisive clustering method;
  • Homogeneous and non-homogeneous Poisson process;
  • Bumps and multi-modalities;
  • pruning method;
  • clustering problem;
  • clustering tree method;
  • kernel method and smoothing parameter

Summary

This chapter contains sections titled:

  • Introduction

  • Input data: interval data

  • The clustering tree method

  • Example

  • References