Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation

Table 1

Clustering performance on the extended YaleB dataset.

	RNMF	Semi-GNMF	CNMF	LCSNMF	URNGE	NLCF	RSNLCF
Acc (%)
2	78.43 ± 16.23	90.47 ± 15.25	76.61 ± 15.34	92.25 ± 17.34	91.02 ± 18.83	89.54 ± 13.26	96.25 ± 15.64
4	69.52 ± 15.01	84.85 ± 14.43	65.62 ± 12.36	88.75 ± 14.76	86.33 ± 16.76	83.03 ± 12.74	94.63 ± 14.53
6	53.45 ± 5.55	82.36 ± 9.63	63.74 ± 6.75	86.14 ± 4.94	84.23 ± 5.66	77.64 ± 13.24	92.37 ± 9.85
8	52.76 ± 3.46	83.71 ± 7.81	65.42 ± 6.41	85.79 ± 6.91	85.39 ± 5.78	75.83 ± 7.33	90.18 ± 6.63
10	53.24 ± 3.47	77.05 ± 4.17	63.68 ± 5.25	78.04 ± 5.79	74.58 ± 2.43	70.42 ± 4.87	88.31 ± 4.14
12	55.11 ± 4.53	72.84 ± 3.15	63.25 ± 4.34	75.65 ± 4.36	73.34 ± 2.76	71.72 ± 7.23	87.26 ± 3.56
14	52.05 ± 3.26	71.57 ± 2.24	61.58 ± 3.86	73.91 ± 3.43	72.16 ± 2.14	68.52 ± 2.13	87.11 ± 2.34
16	51.97 ± 3.17	67.85 ± 2.45	59.91 ± 3.42	69.35 ± 3.82	68.35 ± 1.82	65.46 ± 3.14	85.67 ± 3.16
18	51.53 ± 3.32	67.58 ± 3.01	57.33 ± 2.97	71.64 ± 3.58	69.09 ± 2.23	65.83 ± 3.71	85.32 ± 3.01
Avg.	57.56	77.59	64.13	80.17	78.28	74.22	89.69
NMI (%)
2	82.91 ± 18.13	92.51 ± 18.52	78.81 ± 16.28	94.36 ± 19.84	93.35 ± 17.46	91.71 ± 17.15	98.46 ± 14.75
4	72.63 ± 17.92	87.24 ± 16.35	71.58 ± 13.41	92.71 ± 15.14	90.78 ± 15.46	85.53 ± 15.94	96.38 ± 13.52
6	63.42 ± 5.21	85.91 ± 6.47	68.37 ± 8.86	90.25 ± 9.48	86.13 ± 6.48	82.82 ± 12.03	94.35 ± 7.51
8	62.14 ± 2.96	86.86 ± 3.72	70.54 ± 7.97	89.37 ± 8.16	88.73 ± 6.52	80.34 ± 5.02	93.82 ± 5.73
10	64.06 ± 3.01	84.25 ± 3.26	69.72 ± 6.33	87.54 ± 5.42	86.82 ± 4.36	79.16 ± 2.92	92.73 ± 6.22
12	63.41 ± 3.05	80.82 ± 2.33	68.98 ± 4.64	85.28 ± 5.37	84.94 ± 4.53	80.47 ± 3.77	90.69 ± 4.91
14	58.99 ± 2.11	79.34 ± 3.44	67.67 ± 5.78	84.91 ± 4.98	83.12 ± 3.98	77.55 ± 1.76	90.43 ± 3.01
16	57.23 ± 2.17	77.85 ± 2.97	65.98 ± 4.58	82.11 ± 4.12	81.66 ± 3.54	76.46 ± 2.44	89.27 ± 4.62
18	55.59 ± 2.03	77.51 ± 2.25	64.67 ± 3.98	83.79 ± 4.43	82.36 ± 3.28	77.59 ± 1.99	89.21 ± 4.75
Avg.	64.49	86.02	69.59	87.81	86.43	81.29	97.06