doi: 10.7763/IJMLC.2012.V2.143
A Data Mining Approach on Cluster Analysis of IPL
Pabitra Kumar Dey1
, , ,
- 1Department of Computer Application, Dr.B.C.Roy Engineering College, Durgapur, India
- 2Manipal University, India
- 3Department of Computer Science and Engineering, Dr.B.C.Roy Engineering College, Durgapur, India.
Abstract
Fuzzy clustering is an important approach in data mining. It has been applied broadly in many aspects and receiving great attention from enterprisers and scholars. This paper makes use of MATLAB language to produce a fuzzy clustering algorithm for classifying the batting statistics of Indian Premier League (IPL) T-20 version-3 cricket tournament into several numbers of clusters. The definition of clusters as well as the membership function has been implemented using MATLAB. The results obtained from Indian premier league batting statistics dataset detect n-clusters to handle the imprecise and ambiguous result. Finally, this article proposed a fuzzy clustering technique which provides efficient and accurate data analysis in the field of data mining.
Keywords
- Cluster analysis
- fuzzy set theory
- machine learning
- data mining
How to Cite
Pabitra Kumar Dey, Gangotri Chakraborty, Purnendu Ruj, and Suvobrata Sarkar, "A Data Mining Approach on Cluster Analysis of IPL," International Journal of Machine Learning, vol. 2, no. 4, pp. 351-354, 2012. https://doi.org/10.7763/IJMLC.2012.V2.143
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).