Bidirectional Nonnegative Deep Model and Its Optimization in Learning

Table 3

Performance comparison of reconstruction data on different datasets.

Algorithms	COIL20		COIL100		CMU PIE
	AC	NMI	AC	NMI	AC	NMI
NMF rec.	0.6267	0.7490	0.4468	0.7200	0.4391	0.7569
PNMF rec.	0.6528	0.7630	0.4686	0.7373	0.1866	0.4698
Deep Semi-NMF rec. 1st layer	0.5563	0.6304	0.3689	0.5783	0.8277	0.9506
Deep Semi-NMF rec. 2nd layer	0.5535	0.6590	0.4125	0.6471	0.7962	0.9156
Deep Semi-NMF rec. 3rd layer	0.6708	0.7263	0.4169	0.6568	0.8319	0.9447
Deep Semi-NMF rec. 4th layer	0.5271	0.5701	0.3114	0.5262	0.5963	0.7627
BNDL rec. 1st layer	0.5903	0.6793	0.5004	0.7313	0.3771	0.6503
BNDL rec. 2nd layer	0.5813	0.6819	0.4760	0.7424	0.3074	0.6074
BNDL rec. 3rd layer	0.6132	0.6815	0.4753	0.7328	0.2532	0.5640
BNDL rec. 4th layer	0.6049	0.6827	0.4826	0.7426	0.2454	0.5377