Probabilistic Topological Map and Binary data

[LCT01] Probabilistic Topological Map and Binary data

Conférence Internationale avec comité de lecture : ICANN2001, January 2001, (Soumis à ICANN2001)

Auteurs: M. Lebbah , C. Chabanon , S. Thiria , F. Badran

motcle:

Résumé: The Self Organizing Map (SOM) proposed by Kohonen is a well known neural model which provides both quantization and clustering of the observation space. In this paper, we adapt the Bernoulli mixture approach to the model of binary topological map and show that using a probabilistic formalism gives rise to better quantization process and classification performances.

Download

@inproceedings {
	LCT01,
	title	=	"{Probabilistic Topological Map and Binary data}",
	author	=	" M. Lebbah and C. Chabanon and S. Thiria and F. Badran ",
	booktitle	=	"{ICANN2001}",
	year	=	2001,
	month	=	"January",
	note	=	"{Soumis à ICANN2001}",
}