共现邻域关系下的属性约简研究

毛振宇, 窦慧莉, 宋晶晶, 姜泽华, 王平心

Research on attribute reduction via co⁃occurrence neighborhood relation

Zhenyu Mao, Huili Dou, Jingjing Song, Zehua Jiang, Pingxin Wang

表3 四种方法在不同阈值下的KNN分类准确率均值

Table 3 The average KNN classification accuracies of the four methods under different thresholds

ID	NR (ε=1)	CNR (ε=1)	NR (ε=0.95)	CNR (ε=0.95)	PLNR (ε=1)	PLCNR (ε=1)	PLNR (ε=0.95)	PLCNR (ε=0.95)
均值	0.8361	0.8411	0.8362	0.8363	0.7662	0.7935	0.7635	0.7883
1	0.9621	0.9605	0.9591	0.9554	0.9128	0.9110	0.9157	0.9071
2	0.7628	0.7662	0.7602	0.7665	0.6137	0.6762	0.6078	0.6743
3	0.9545	0.9513	0.9441	0.9354	0.5503	0.6684	0.5676	0.6522
4	0.9212	0.9241	0.9236	0.9191	0.8939	0.9137	0.8704	0.8984
5	0.8615	0.8630	0.8605	0.8630	0.8630	0.8625	0.8580	0.8535
6	0.7596	0.7768	0.7736	0.7786	0.7342	0.7603	0.7384	0.7423
7	0.7797	0.7733	0.7772	0.7704	0.7806	0.7662	0.7655	0.7627
8	0.7709	0.7731	0.7754	0.7681	0.7756	0.7813	0.7644	0.7694
9	0.8294	0.8463	0.8209	0.8268	0.7242	0.7973	0.7319	0.8163
10	0.7191	0.7363	0.7215	0.7301	0.6734	0.6956	0.6749	0.7045
11	0.7650	0.7769	0.7734	0.7853	0.7461	0.7513	0.7429	0.7495
12	0.9479	0.9458	0.9451	0.9368	0.9262	0.9382	0.9241	0.9294