A Bayesian Variational principle for dynamic Self Organizing Maps
arXiv:2208.11337
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.