Chapter 9. Unsupervised Divisive Classification
- Edwin Diday2,
- Monique Noirhomme-Fraiture3
Published Online: 28 JAN 2008
DOI: 10.1002/9780470723562.ch9
Copyright © 2008 John Wiley & Sons, Ltd
Book Title
Symbolic Data Analysis and the SODAS Software
Additional Information
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
- 2
Université Paris IX-Dauphine, LISE-CEREMADE, Place du Marechal de Lattre de Tassigny, Paris Cedex 16, France F-75775
- 3
Facultés Universitaires Notre-Dame de la Paix, Faculté d'Informatique, Rue Grandgagnage, 21, Namur, Belgium, B-5000
Publication History
- Published Online: 28 JAN 2008
- Published Print: 18 JAN 2007
ISBN Information
Print ISBN: 9780470018835
Online ISBN: 9780470723562
- Summary
- Chapter
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