Discovering dynamics using Bayesian clustering
P Sebastiani, M Ramoni, P Cohen, J Warwick… - Advances in Intelligent …, 1999 - Springer
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.
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.
[PDF][PDF] Discovering Dynamics using Bayesian Clustering
PSMRP Cohen, JWJ Davis - researchgate.net
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.
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.
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