An algorithm for unsupervised learning and optimization of finite mixture models
In this paper, an algorithm is proposed to integrate the unsupervised learning with the optimization of the Finite Mixture Models (FMM). While learning parameters of the FMM the proposed algorithm minimizes the mutual information among components of the FMM provided that the reduction in the likelih...
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| Format: | Article |
| Language: | English |
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Elsevier
2011-03-01
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| Series: | Egyptian Informatics Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866511000065 |