Clustering analysis for classifying student academic performance in higher education

HIGHLIGHTS

  • who: Ahmad Fikri Mohamed Nafuri et al. from the Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia have published the article: Clustering Analysis for Classifying Student Academic Performance in Higher Education, in the Journal: (JOURNAL)
  • what: This study proposes a clustering-based approach for classifying B40 students based on their performance in higher education institutions (HEIs). The optimum parameter tuning values from the experiments for the k-means, BIRCH, and DBSCAN algorithms are used to develop the algorithms in the following experiment to produce high accuracy results . . .

     

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