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

机译:使用聚类和特征选择技术识别体育域中体育域中的重大挑战

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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 than10 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.
机译:体育产业,特别是足球产业完全从去年十年内重塑。 为了提高运动表现和安全,设备公司的价格是大量的美元。 在文献中有一个以上的技术或技术因素作为挑战。 解决这些挑战,提高了足球比赛的能力。 看到所有因素,可能会投入更多的成本和时间。 本文侧重于减少10个挑战。作者使用了聚类技术以获得最佳挑战选择和集群验证参数,以证明结果的准确性。

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