Discovering Dynamics Using Bayesian Clustering

Abstract. This paper introduces a Bayesian method for clustering dynamic processes and applies it to the characterization of the dynamics of a military scenario. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to discover the most probable set of clusters capturing the di erent dynamics. To increase e ciency, the method uses an entropy-based heuristic search strategy.

• Type: Conference
• Year: 1999
• Where: IDA
• Authors: Paola Sebastiani, Marco Ramoni, Paul R. Cohen, John Warwick, James Davis
• Keywords: Agglomerative Clustering Procedure, Di Erent Dynamics, IDA 1999, Information Management, Method Models Dynamics