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Unveiling Patterns in Student Achievement Using K-Medoids Clustering

  • Unique Paper ID: 174654
  • Volume: 11
  • Issue: 11
  • PageNo: 177-181
  • Abstract:
  • In this research, the K-Medoids clustering algorithm is used to investigate student performance from information about grades, attendance, and participation in extracurricular activities. Three different clusters were identifier: Cluster 1 of high performing academics who also have good attendance, Cluster 2 of average performing students with poor attendance, and Cluster 3 low performing academics with high participation in extracurricular activities. The K-Medoids algorithm was used due to its outlier robustness to form accurate clusters.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 177-181

Unveiling Patterns in Student Achievement Using K-Medoids Clustering

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