Students’ Allocation using Fuzzy Clustering Algorithms and Fukuyama and Sugeno’s Fuzzy Cluster Validity Index

Abstract

Data Structure is a compulsory 4th semester subject offered by the Department of Informatics at Atma Jaya University, Yogyakarta, Indonesia. Consider that there are 121 students enrolled in this subject, all of whom need to be allocated into classes. This fact raises three questions. Firstly, what is the appropriate number of classes? Secondly, how should those students be allocated into classes? Thirdly, which student belongs to which class? The answer to the second and the third questions for a given number of classes was formulated in a previous article by employing the fuzzy clustering concept, one of several tools in data mining. As a development to this prior article, the research presented by the authors in this current article endeavours to answer the first question by employing the Fukuyama and Sugeno’s fuzzy cluster validity index.