Data Convolution Clustering Algorithm of Sports Computer Intelligence Training and Financial Management System based on C++ Programming

Data convolution clustering algorithm of sports computer intelligence training and financial management system based on C++ programming is studied in the paper. This study combines the error programs, defect location information, and repair options to obtain extended C/C++ programs with selection expressions, and convert them into corresponding SKETCH programs. Then, use the correct sample programs as constraints for the SKETCH program synthesizer. Through this operation, the C++ efficiency will be improved. Further, the designed data clustering algorithm is applied into the analysis of the sports computer intelligence training and the novel financial management system is then designed and implemented. Through the verification, the systematic results are demonstrated.