Behaviour of players on IPL based on fuzzy C means

Abstract

Clustering algorithms are being widely used in the field of data mining in order to accumulate similar data in the form of clusters. Indian Premiere League(IPL) is one of the most famous cricket leagues around the globe. In this paper, the dataset of IPL is used to cluster the players on the basis of various attributes. The authors ought to analyze both batsmen and bowlers in various clusters with the help of Fuzzy-c-means. The algorithm has been implemented to group the players in different clusters based on their performance in the IPL season of 2018. The pros and cons of the algorithm are also discussed and finally the experimental results are shown to highlight two main clusters i.e. above average and below average. The present work simulates the algorithm to distinguish only overseas player. In future this work can be extended for every player and form a recommendation model to identify best player or form best team.