Low Rank Correlation Representation and Clustering

Table 3

Clustering performance on object datasets.

Datasets	Methods	ACC	NMI	AR	F-score	Precision	Recall
COIL-20	MLRSSC	83.35	83.25	69.05	70.36	68.27	73.18
	RMSL	80.79	83.04	62.41	70.94	69.14	72.36
	MCGC	88.21	83.78	69.90	70.84	65.53	77.08
	DiMSC	85.23	82.71	69.86	71.37	70.30	72.48
	MVGL	85.21	95.92	83.25	82.17	75.64	94.88
	GMC	87.05	93.72	83.69	84.03	77.37	91.26
	SM^2SC	89.42	95.71	83.76	84.21	78.30	94.81
	Ours	89.13	96.54	84.03	86.49	78.53	95.10
Caltech 101-20	MLRSSC	55.43	51.91	46.01	42.06	83.76	68.86
	RMSL	57.94	52.15	44.67	41.16	81.32	64.35
	MCGC	64.51	59.47	46.57	48.06	88.94	72.72
	DiMSC	58.12	47.77	40.59	47.61	86.47	67.42
	MVGL	62.95	58.81	45.96	46.79	87.25	72.13
	GMC	65.23	60.52	42.80	46.51	89.15	69.51
	SM^2SC	66.04	60.49	47.21	49.33	89.30	72.29
	Ours	66.42	61.14	48.75	49.76	89.44	73.05