A Bayesian Variational principle for dynamic Self Organizing Maps

08/24/2022

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by   Anthony Fillion, et al.

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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.