Robust estimation of gaussian mixture models using anomaly scores and bayesian information criterion for missing value imputation

HIGHLIGHTS

• who: Florian Mouret and colleagues from the TerraNIS, l`Europe, Ramonville-Saint-Agne, France University of Toulouse, IRIT-ENSEEIHT, Tu00e9SA, Rue Charles Camichel, Toulouse, France have published the research work: Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation, in the Journal: (JOURNAL)
• what: To that extent the authors propose to use within the EM algorithm an outlier detection step that attributes an anomaly score to each sample of the database in an unsupervised way. modified Bayesian Information Criterion also introduced to efficiently select the appropriate amount . . .
  

   

  

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