Bayesian Clustering by Dynamics

This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to discover the most probable set of clusters capturing different dynamics. To increase ef

• Type: Journal
• Year: 2002
• Where: ML
• Authors: Marco Ramoni, Paola Sebastiani, Paul R. Cohen
• Keywords: Agglomerative Clustering Procedure, Bayesian Method, Entropy-based Heuristic Search, Machine Learning, ML 2002