Identification of Significant Challenges in the Sports Domain using Clustering and Feature Selection Techniques

The sports industry, particularly the football industry is entirely reshaped from the last decade. To enhance the athletic performance and security, equipment companies are outlaying large amount of dollars. There are more than 10 technologies or technology factors acting as a challenge, in literature. Resolving these challenges, improve competency of a football game. Seeing to all factors, may invest more cost and time. This paper focuses on reducing 10 challenges to 5. Authors have used clustering technique for optimal challenge selection and cluster validation parameters to prove accuracy of the result.