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[YNBa01] A New Hierarchical Clustering Method using Topological Map
Conférence Internationale avec comité de lecture : ASMDA2001 : 10th Int. Symp. on APPLIED STOCHASTIC MODELS AND DATA ANALYSIS, January 2001, pp.1023-1028,
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 { | |||
| YNBa01, | |||
| title | = | "{A New Hierarchical Clustering Method using Topological Map}", | |
| author | = | " M. Yacoub and N. Niang Keita and F. Badran and S. Thiria ", | |
| booktitle | = | "{ASMDA2001 : 10th Int. Symp. on APPLIED STOCHASTIC MODELS AND DATA ANALYSIS}", | |
| year | = | 2001, | |
| month | = | "January", | |
| pages | = | "1023-1028", | |
| } | |||
