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A clustering algorithm based on fuzzy sets and its application in learning analytics

Conference Paper


Abstract


  • In this paper, we developed a soft clustering algorithm, named NDFS clustering, based on fuzzy sets defined over a multi-dimensional feature space where each fuzzy set represents a cluster. The NDFS clustering algorithm implements an expectation-maximization (EM) paradigm to solve an optimisation problem with objective function described by the degrees of membership of data points with respect to fuzzy sets and with necessary constraints. Details of the NDFS clustering algorithm are discussed. The NDFS clustering algorithm is then applied to analyse primary school learning performance. The case study demonstrates the flexibility and performance of the NDFS clustering algorithm.

Publication Date


  • 2019

Citation


  • Ma, J., Yang, J. & Howard, S. K. (2019). A clustering algorithm based on fuzzy sets and its application in learning analytics. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). United States: IEEE.

Scopus Eid


  • 2-s2.0-85073774833

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/286

Start Page


  • 1

End Page


  • 6

Place Of Publication


  • United States

Abstract


  • In this paper, we developed a soft clustering algorithm, named NDFS clustering, based on fuzzy sets defined over a multi-dimensional feature space where each fuzzy set represents a cluster. The NDFS clustering algorithm implements an expectation-maximization (EM) paradigm to solve an optimisation problem with objective function described by the degrees of membership of data points with respect to fuzzy sets and with necessary constraints. Details of the NDFS clustering algorithm are discussed. The NDFS clustering algorithm is then applied to analyse primary school learning performance. The case study demonstrates the flexibility and performance of the NDFS clustering algorithm.

Publication Date


  • 2019

Citation


  • Ma, J., Yang, J. & Howard, S. K. (2019). A clustering algorithm based on fuzzy sets and its application in learning analytics. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). United States: IEEE.

Scopus Eid


  • 2-s2.0-85073774833

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/286

Start Page


  • 1

End Page


  • 6

Place Of Publication


  • United States