A new iterative initialization of em algorithm for gaussian mixture models

HIGHLIGHTS

  • who: Jie You and collaborators from the College of Science, Northwest AandF University, Yangling, Shaanxi, PRChina have published the research: A new iterative initialization of EM algorithm for Gaussian mixture models, in the Journal: PLOS ONE of January/14,/2023
  • what: In the paper of Verbeek et_al , a greedy algorithm is presented which does not need an initialization but needs to construct a whole sequence of mixture models with m=1,..., K components instead. To optimize the initial value of the EM algorithm and the estimated results, the authors propose a new iterative initialization method . . .

     

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