While deep neural networks have tackled image classification they lack the interpretability and it is difficult to guarantee that the convergence, stability. From another perspective, purely geometric algorithms for instance nearest neighbors may not be optimal albeit they are stable and converge under suitable assumptions. Classical machine learning algorithms combined with representation generated by the neural networks can give a reasonable performance. Similar to this one, Voronoi cell can be combined with Bayesian