ACG-SFE: Adaptive cluster-guided simple, fast, and efficient feature selection for high-dimensional microarray data in binary classification

• Yi Wei Tye ,

  Contributed equally to this work with: Yi Wei Tye, XinYing Chew

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software

  Affiliation School of Computer Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia

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• XinYing Chew ,

  Contributed equally to this work with: Yi Wei Tye, XinYing Chew

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: xinying@usm.my

  Affiliation School of Computer Sciences, Universiti Sains Malaysia, Gelugor, Penang, Malaysia

  https://orcid.org/0000-0001-5539-1959

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• Umi Kalsom Yusof ,

  Roles Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  ¶‡ UKY and ST also contributed equally to this work.

  Affiliation School of Computing and Informatics, Albukhary International University, Alor Setar, Kedah, Malaysia

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• Samat Tulpar

  Roles Software, Supervision, Validation, Visualization, Writing – original draft

  ¶‡ UKY and ST also contributed equally to this work.

  Affiliation Smart Manufacturing and Artificial Intelligence, Micron Memory Malaysia Sdn. Bhd., Batu Kawan, Penang, Malaysia

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