Paper ID: 2208.11337

A Bayesian Variational principle for dynamic Self Organizing Maps

Anthony Fillion, Thibaut Kulak, François Blayo

We propose organisation conditions that yield a method for training SOM with adaptative neighborhood radius in a variational Bayesian framework. This method is validated on a non-stationary setting and compared in an high-dimensional setting with an other adaptative method.

Submitted: Aug 24, 2022