Bidirectional Nonnegative Deep Model and Its Optimization in Learning

Table 2

Performance comparison on different datasets.

Algorithms	COIL20		COIL100		CMU PIE
	AC	NMI	AC	NMI	AC	NMI
NMF	0.6069	0.7216	0.4483	0.7236	0.4321	0.7197
PNMF	0.6340	0.7356	0.4701	0.7409	0.1796	0.4326
Deep Semi-NMF 2nd layer	0.2889	0.4124	0.3114	0.5502	0.6218	0.7868
Deep Semi-NMF 3rd layer	0.3688	0.4304	0.4064	0.6695	0.6047	0.7720
Deep Semi-NMF 4th layer	0.4375	0.5131	0.4065	0.6367	0.5018	0.7313
Deep Semi-NMF 5th layer	0.6063	0.7141	0.4018	0.6674	0.8074	0.9402
BNDL 2nd layer	0.5687	0.7275	0.4624	0.7389	0.2843	0.5880
BNDL 3rd layer	0.5806	0.7277	0.4754	0.7273	0.3459	0.6495
BNDL 4th layer	0.6431	0.7434	0.3890	0.6441	0.3186	0.5754
BNDL 5th layer	0.6458	0.6760	0.4499	0.6895	0.3533	0.6393