Due to the similarity of big data itself,the classification accuracy of traditional data classification methods is low.Therefore,a design study on the multi-dimensional similarity big data classification system based on Support Vector Machine(SVM)is proposed.The MYC-JX8MMA7 core board as the development carrier of system design,build support vector machine linear regression model,by building a regression plane,and ensure all the multidimensional similar distance between big data and plane are in the minimum state,using the similarity of classification data and the best classification interface,between the data classification.In the test results,the classification result F1 Score was stable above 0.82,which was significantly better than the control group.
关键词
支持向量机(SVM)/多维相似大数据/分类系统/MYC-JX8MMA7核心板
Key words
Support Vector Machine(SVM)/multi-dimensional similarity big data/classification system/MYC-JX8MMA7 core board
维普
万方数据