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A Bayesian Variational principle for dynamic Self Organizing Maps

2022-08-24Code Available0· sign in to hype

Anthony Fillion, Thibaut Kulak, François Blayo

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Abstract

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.

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