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48

ML
2002
ACM

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Bayesian Clustering by Dynamics

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Bayesian Clustering by Dynamics

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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

Marco Ramoni, Paola Sebastiani, Paul R. Cohen

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Agglomerative Clustering Procedure | Bayesian Method | Entropy-based Heuristic Search | Machine Learning | ML 2002 |

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Added	22 Dec 2010
Updated	22 Dec 2010
Type	Journal
Year	2002
Where	ML
Authors	Marco Ramoni, Paola Sebastiani, Paul R. Cohen

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