Grouping of E Learners Using Fuzzy K-Medoid Clustering

Authors

  • Vidyaa Thulasiraman Department of Computer Science, Government Arts & Science College for women, Tamil Nadu, India
  • S. Anthony Philomen Raj Research Scholar, Periyar University, Tamil Nadu, India
  • A. George Louis Raja Department of Master of Computer Applications, Sacred Heart College, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.2.2135

Keywords:

E-Learning, Grouping of Learners, Clustering

Abstract

The process of clustering in the general perspective is limited to the grouping of data into clusters and finds its applications in the fields of information retrieval, text ranking and classification and more. The dimension of e-Learning is to improve learning with various tools and technologies. Grouping of learners based on their learning levels is found to improve the learning abilities. Scientific method to cluster the learners is not available in literature, which can further simplify the amalgamation of learning complemented through clustering. This paper is an attempt to examine the aspects of implementing clustering to group the learners according to their learning abilities.

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Published

04-05-2019

How to Cite

Thulasiraman, V., Anthony Philomen Raj, S., & George Louis Raja, A. (2019). Grouping of E Learners Using Fuzzy K-Medoid Clustering. Asian Journal of Computer Science and Technology, 8(2), 85–89. https://doi.org/10.51983/ajcst-2019.8.2.2135