Science, asked by rajputmanthan2007, 9 months ago

LOG is the mixture of​

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Answered by varmajanu71722
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Answer:

Finite mixture models are useful tools and can be estimated via the EM algorithm. A main drawback is the strong parametric assumption about the component densities. In this paper, a much more flexible mixture model is considered, which assumes each component density to be log-concave. Under fairly general conditions, the log-concave maximum likelihood estimator (LCMLE) exists and is consistent. Numeric examples are also made to demonstrate that the LCMLE improves the clustering results while comparing with the traditional MLE for parametric mixture models.

Answered by shettyvijay762
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Explanation:

did not understand the question

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