An Ameliorated Methodology for Feature Subset Selection on High Dimensional Data using Precise Relevance Measures

  • Published 2018


Attribute subset selection refers to the method of choosing the set of attributes that best describes the dataset. The attributes obtained from the attribute subset selection method when applied to machine learning operations such as clustering, classification etc., should provide the same result as that of the original dataset. The method employed for… (More)


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