Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is not guaranteed to converge to the global optimum. Instead, it stops at some local optimums, which can be much worse than th...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2008
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/4166 https://ink.library.smu.edu.sg/context/sis_research/article/5169/viewcontent/196.pdf |
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| Institution: | Singapore Management University |
| Language: | English |