Low Rank Correlation Representation and Clustering

Table 2

Clustering performance on face datasets.

Datasets	Methods	ACC	NMI	AR	F-score	Precision	Recall
ORL	MLRSSC	71.95	87.22	64.18	65.06	60.25	70.81
	RMSL	70.16	84.45	63.19	65.78	58.57	65.32
	MCGC	77.25	85.62	72.27	73.69	70.36	79.39
	DiMSC	78.87	91.19	73.55	74.19	69.48	79.61
	MVGL	74.50	88.63	74.34	76.14	69.09	82.06
	GMC	79.35	90.57	76.89	71.58	71.05	81.98
	SM^2SC	80.56	91.08	78.36	75.36	70.82	82.76
	Ours	81.39	91.32	77.36	75.73	71.13	83.10
Yale	MLRSSC	64.31	68.18	47.59	50.94	48.68	53.46
	RMSL	65.43	70.21	47.28	48.35	45.14	55.41
	MCGC	68.06	68.37	45.88	49.63	43.62	57.58
	DiMSC	66.06	67.34	47.57	50.87	49.36	52.48
	MVGL	67.67	70.78	46.27	49.83	45.79	54.67
	GMC	74.05	66.28	47.58	50.66	48.28	57.52
	SM^2SC	74.26	70.43	49.23	51.19	49.53	58.31
	Ours	74.48	71.96	50.11	51.84	50.42	59.18