Automatic determination of the number of clusters by mixtures of bayesian networks
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United States of America Patent
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Mar 4, 2003
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N/A
app pub date -
Dec 23, 1998
filing date -
Dec 4, 1997
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Abstract
The invention automatically determines the number of clusters in a Bayesian network or in a mixture of Bayesian networks (MBN). A common external hidden variable is associated with the network. Expected sufficient statistics (ESS) are computed in the case of a Bayesian network or expected complete model sufficient statistics (ECMSS) are computed in the case of an MBN, from the observed data. An expected sample size for each state of a hidden variable is computed from the ESS or ECMSS. The optimum number of states is reached by deleting those states having a sample size less than a predetermined threshold.
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