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A Batch Rival Penalized Expectation-Maximization Algorithm for Gaussian Mixture Clustering with Automatic Model Selection
Within the learning framework of maximum weighted likelihood (MWL) proposed by Cheung, 2004 and 2005, this paper will develop a batch Rival Penalized Expectation-Maximization (RPEM) algorithm for density mixture clustering provided that all observations are available before the learning process. Com...
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| Main Authors: | , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Hindawi Publishing Corporation
2012
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3287038/ https://ncbi.nlm.nih.gov/pubmed/22400050 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2012/425730 |
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