Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation

Table 2

Clustering performances on the AR dataset.

	Acc (%)				NMI (%)
	Semi-GNMG	CNMF	URNGE	RSNLCF	Semi-GNMG	CNMF	URNGE	RSNLCF
4	58.29 ± 3.74	55.93 ± 3.72	63.28 ± 3.94	82.29 ± 2.54	68.65 ± 5.34	67.79 ± 3.51	72.37 ± 4.29	86.27 ± 2.28
6	64.53 ± 3.62	60.56 ± 4.54	69.06 ± 4.31	86.07 ± 4.19	72.49 ± 3.38	68.28 ± 4.43	76.85 ± 4.32	89.46 ± 4.93
8	67.37 ± 3.22	69.17 ± 3.93	74.19 ± 3.71	87.25 ± 2.68	78.13 ± 3.67	80.33 ± 3.25	81.24 ± 2.36	91.57 ± 2.28
10	74.87 ± 4.13	76.57 ± 2.76	79.73 ± 2.38	88.48 ± 3.85	83.48 ± 3.36	84.52 ± 2.37	87.63 ± 3.48	92.84 ± 3.58
12	79.38 ± 3.03	82.32 ± 2.83	88.01 ± 3.52	92.64 ± 2.23	85.21 ± 2.02	88.32 ± 3.76	90.27 ± 3.52	94.12 ± 2.93
14	85.95 ± 3.31	90.58 ± 2.53	91.49 ± 2.36	93.54 ± 2.17	88.27 ± 2.37	92.46 ± 2.43	92.34 ± 2.86	96.43 ± 3.54
16	86.39 ± 3.71	91.35 ± 4.54	92.92 ± 2.42	94.83 ± 2.79	89.38 ± 2.58	93.25 ± 3.38	93.94 ± 2.48	97.07 ± 2.72
18	88.83 ± 3.27	92.82 ± 4.55	94.73 ± 2.67	96.71 ± 2.35	91.03 ± 2.64	94.38 ± 3.46	95.52 ± 2.69	98.91 ± 2.76
Avg.	75.70	77.41	81.68	90.23	82.46	83.67	86.27	93.33