On determining efficient finite mixture models with compact and essential components for clustering data
In this paper, an algorithm is proposed to learn and evaluate different finite mixture models (FMMs) for data clustering using a new proposed criterion. The FMM corresponds to the minimum value of the proposed criterion is considered the most efficient FMM with compact and essential components for c...
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| Format: | Article |
| Language: | English |
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Elsevier
2013-03-01
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| Series: | Egyptian Informatics Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866513000066 |