Discovering Dynamics Using Bayesian Clustering

Authors:
Paola Sebastiani;Marco Ramoni;Paul R. Cohen;John Warwick;James Davis
Affiliations:
-;-;-;-;-
Venue:
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Year:
1999

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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 different dynamics. To increase efficiency, the method uses an entropy-based heuristic search strategy.