Paper Title
Deep Probabilistic Self-Organising Neural Networks for Soft Clustering

Abstract
Probabilistic adaptive resonance theory (pART) network is a new variant of fuzzy-ART self-organizing neural networks. It canperform soft clustering and can solve non-convex clustering problem by stacking multiple instances of itself, creating deep probabilistic adaptive resonance theory(deepART) network. In this paper, we benchmarked these modelsagainst fuzzy C means and HDBSCANusingthree synthetically generated datasets. We show that pART and deepARToutperform the two models in certain scenarios. Keywords - Adaptive Resonance Theory, Deep Adaptive Resonance Theory, ART, deepART.