Proposal a new feature evaluation measure for filter type feature subset selection with Evolutionary Algorithm

DOI

Bibliographic Information

Other Title
  • 進化計算を用いたフィルター特徴選択に関する評価指標の提案

Abstract

<p>Feature Selection is an important preprocessing step for pattern recognition and data mining problems. This process selects necessary features and removes redundant features. In this work, we propose a new fitness function for feature subset evaluation. The proposed new fitness function is used for feature subset selection with EC algorithms. Simulation experiments using the benchmark datasets have been done and the results are compared with popular methods.</p>

Journal

Details 詳細情報について

  • CRID
    1390001288048210688
  • NII Article ID
    130007426392
  • DOI
    10.11517/pjsai.jsai2018.0_3e204
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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