Application of Clustering and Recommendation Algorithm in Sports Competition Pressure Source

With the vigorous development of China’s sports industry, rules and number events are increasing, competition pressure on playground is also increasing. The increase will bring many negative effects to athletes. In order relieve athletes in eliminate significance athletes, this paper mainly introduces clustering algorithm source competition. uses similarity attributes between data objects calculate structure fractional clustering. paper, original obtained through questionnaire survey, using recommendation algorithms analyze data, utilization rate as high 98%, analysis efficiency 97%. Dividing into three categories, magnitude stress analyzed, respectively, application methods recommended according their respective distributions, so assist psychologists diagnosis, corresponding height 80%; enables receive good counseling advice remain mentally healthy.