基于鱼群算法的脑功能连接邻域粗糙集特征归约方法

冀俊忠,宋晓妮,杨翠翠

Feature reduction of neighborhood rough set based on fish swarm algorithm in brain functional connectivity

Jun-zhong JI,Xiao-ni SONG,Cui-cui YANG

表 2 8种算法在5组实验数据上的实验结果

Tab.2 Experimental results of 8 algorithms on 5 groups of experimental data

数据集 算法 Nu Acc Pr Re Fm ADHD SRS 23 0.60750 0.58638 0.48067 0.41665 SNRS 11 0.66250 0.64095 0.48600 0.48524 mRMR 9 0.72500 0.75757 0.51510 0.54380 NRS 11 0.69750 0.68933 0.53933 0.52734 LLE 22 0.58250 0.63433 0.40365 0.27369 PCA 39 0.61750 0.68170 0.28600 0.31450 F-score 9 0.64750 0.62633 0.48133 0.48689 NRSFSA 9 0.76500 0.79333 0.61962 0.64165 ABIDE SRS 43 0.53400 0.70633 0.19945 0.24923 SNRS 14 0.51200 0.52567 0.37864 0.40008 mRMR 10 0.56200 0.58071 0.52614 0.50408 NRS 6 0.65800 0.67351 0.68288 0.63672 LLE 36 0.57800 0.56712 0.61083 0.55199 PCA 66 0.53800 0.55890 0.51870 0.49210 F-score 10 0.72600 0.74643 0.68048 0.68616 NRSFSA 10 0.69400 0.73376 0.61683 0.61745 NC-AD SRS 15 0.59152 0.75000 0.07386 0.10269 SNRS 14 0.70924 0.73227 0.74110 0.71883 mRMR 8 0.70167 0.72543 0.78083 0.73496 NRS 17 0.81803 0.80314 0.89052 0.83404 LLE 24 0.71970 0.74294 0.78606 0.74340 PCA 60 0.76920 0.76320 0.82900 0.77960 F-score 8 0.64288 0.66526 0.74277 0.68361 NRSFSA 8 0.75348 0.77167 0.81725 0.77346 NC-MCI SRS 15 0.62379 0.65169 0.71285 0.65813 SNRS 12 0.67530 0.69825 0.76487 0.70573 mRMR 9 0.69712 0.71774 0.76529 0.71338 NRS 15 0.72015 0.72979 0.79019 0.73919 LLE 24 0.73076 0.72760 0.83533 0.76117 PCA 60 0.76710 0.76270 0.84500 0.78490 F-score 9 0.81652 0.82566 0.82013 0.80176 NRSFSA 9 0.75697 0.75238 0.81108 0.76553 AD-MCI SRS 16 0.63077 0.64118 0.71899 0.65242 SNRS 19 0.66179 0.65876 0.77476 0.68663 mRMR 14 0.81859 0.79769 0.87512 0.82196 NRS 16 0.79244 0.80323 0.81253 0.79404