Application of hybrid clustering methods for student performance evaluation

Abstract

In the present research paper, an attempt has been made to design for evaluating the assessment of student in the educational environment by using the hybrid clustering methods. Various issues along problems are associated with the academic performance evaluation in the field of education. The proposed new approach known as hybrid clustering is based on integrated techniques of Subtractive and Fuzzy C-Means clustering methods. The assessment of student academic performance can be considered as a clustering problem. The clusters are formed on the basis of the intelligence level of students. The intelligence level wise grouping is essential for maintaining the homogeneity of the group. Otherwise it would be difficult to provide good educational services to the highly diverse student population.