论文标题
动态自组织图的贝叶斯变分原理
A Bayesian Variational principle for dynamic Self Organizing Maps
论文作者
论文摘要
我们提出了组织条件，该条件在各种贝叶斯框架中产生了一种以适应性邻域半径训练SOM的方法。该方法在非平稳设置上进行了验证，并在高维设置中与其他适应性方法进行了比较。
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.
