A novel study of fuzzy clustering algorithms for their applications in various domains
Prashant Vats · 2014
Fuzzy clustering techniques allows for a meaningful generalizations to be made in bulk quantities of data by recognizing a few basic patterns among them. Fuzzy clustering approach is based on statistical analysis of data sets for determining whether the objects of a space would fall into different groups by making quantifiable comparisons of multiple characteristics. This technique finds its applications in providing solutions to a number of real time problems. So in this paper we have enlisted few applications of Fuzzy clustering technique into various areas for their useful results produced by the application of this technique into the respective areas.