Enhanced feature clustering method based on ant colony optimization for feature selection

HIGHLIGHTS

  • who: Andri Andini from the Department of Computer Technology Engineering, Shatt Al-Arab University College, Basra, Iraq School of Computing, University Utara Malaysia, Kedah, Malaysia have published the research work: Enhanced feature clustering method based on ant colony optimization for feature selection, in the Journal: (JOURNAL)
  • how: ud835udc41ud835udc41ud835udc53ud835udc53ud835udc53ud835udc53 features are selected and the values of MDA identical to these features are calculated using Equation .

SUMMARY

    One powerful FS method that considers the correlation between features to enhance the search for optimal feature subset is feature clustering. One of the most effective . . .

     

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