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[YNB01] A New Hierarchical Clustering Method using Topological Map
Conférence Internationale avec comité de lecture : 10th Int. Symp. on Applied Stochastique Models and Data Analysis (AMSDA2001),, January 2001,
motcle:
Résumé:
We present a new hierarchical clustering criteria which can
be applied to data set. This is done after generating an initial
partition byusing a Topological Self Organizing Map. This criteria
contains two terms which take into account two di
erent errors
simultaneously: the square error of the entire clustering (as the
Ward criteria) and the topological structure given by the Self
Organizing Map. A parameter T allows to control the corresponding in
uence of these two terms. Results on simulated data are presented
which show the e
ect of this criteria for different values of T.
Collaboration:
UPMC
BibTeX
| @inproceedings { | |||
| YNB01, | |||
| title | = | "{A New Hierarchical Clustering Method using Topological Map}", | |
| author | = | " M. Yacoub and N. Niang Keita and F. Badran and S. Thiria ", | |
| booktitle | = | "{10th Int. Symp. on Applied Stochastique Models and Data Analysis (AMSDA2001),}", | |
| year | = | 2001, | |
| month | = | "January", | |
| } | |||
