Clustering on Yale Database (Accuracy, NMI) benchmark leaderboard · SOTA2 Research

Clustering on Yale Database (Accuracy, NMI)

100AccuracyDeep nsNMF

Evaluation Results

Method	Links
Deep nsNMF2018.03		100	100
GNMF2018.03		91.82	66.87
nsNMF2018.03		91.36	67.93
Deep Semi-NMF2018.03		90.45	64.73
Deep nsNMF2018.03		87.88	66.46
nsNMF2018.03		76.97	45.75
NMF2018.03		76.36	31.09
Deep nsNMF2018.03		76	60.61
Deep nsNMF2018.03		72.27	54.75
Deep nsNMF2018.03		70.61	61.44
GNMF2018.03		68.79	39.59
Deep Semi-NMF2018.03		68.18	54.13
Deep nsNMF2018.03		68.03	55.59
Deep Semi-NMF2018.03		66.06	35.59
Deep Semi-NMF2018.03		65.45	53.81
Deep Semi-NMF2018.03		63.25	51.19
NMF2018.03		61.82	50.32
nsNMF2018.03		60.79	48.38
Deep Semi-NMF2018.03		60.73	47.14
nsNMF2018.03		59.64	47.06
Deep nsNMF2018.03		59.6	56.73
NMF2018.03		59.39	29.21
nsNMF2018.03		58.86	44.24
NMF2018.03		58.48	47.64
Deep nsNMF2018.03		58.07	53.23
Deep Semi-NMF2018.03		57.27	53.34
NMF2018.03		57.19	43.62
Deep nsNMF2018.03		57.01	52.6
NMF2018.03		56.91	45.76
Deep nsNMF2018.03		56.64	52.99
Deep Semi-NMF2018.03		56.36	51.66
nsNMF2018.03		55.61	44.46
nsNMF2018.03		55.56	48.66
NMF2018.03		55.15	49.76
Deep Semi-NMF2018.03		53.12	49.75
Deep Semi-NMF2018.03		51.64	50.58
nsNMF2018.03		51.36	46.88
GNMF2018.03		51.09	40.76
NMF2018.03		50.65	45.83
nsNMF2018.03		50.65	45.19
GNMF2018.03		49.33	41.4
NMF2018.03		49.2	46.66
GNMF2018.03		47.73	51.29
nsNMF2018.03		47.09	45.27
NMF2018.03		46.73	46.29
GNMF2018.03		42.12	31.67
GNMF2018.03		38.59	36.58
GNMF2018.03		36.36	37.13
GNMF2018.03		35.09	38.92
GNMF2018.03		32.39	29.81