In order to study the necessity of mRMR in 6 methods, the 6 methods are used without mRMR and run 50 times under the same parameters, the correctrate recognition results are shown in Figure 6. From Figure 6, it is clear that all the recognition accuracy results are lower than the recognition accuracy containing mRMR, thus verifying the superiority of mRMR in selecting sensitive features. In combination with Table 2, it is further explained that the FFCMPE has the highest diagnostic accuracy in the m-3,4,5,6 feature fusion method, which shows the advantages of FFCMPE in feature extraction.
正在翻译中..