Web based fuzzy C-Means Clustering Software (wFCM)

Abstract

Fuzzy c-means is a well-known fuzzy clustering algorithm in literature. It allows objects to belong to several clusters simultaneously with different degrees of membership. Considering the importance of fuzzy clustering, web based software has been developed to implement fuzzy c-means clustering algorithm (wFCM). wFCM is a freely accessible web based software package for clustering datasets based on fuzzy c-means clustering algorithm. This software is completely menu driven and presents user-friendly GUI which is developed to minimize efforts in using the software. User can upload data to wFCM using different formats of Excel, and CSV file. Results can be visualized in graphical format and can be downloaded in excel and PDF format. The results obtained from the software were compared with standard Software “R” and observed to be better in terms of evaluation parameters. This software will be useful for statisticians, researchers, students and teachers for clustering datasets from agricultural research as well as many diverse areas of other sciences.