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Clustering on Yale Database (Accuracy, NMI)

100AccuracyDeep nsNMF
29.685647.940366.19584.4497Mar 20, 2018

Evaluation results

MethodLinks
Deep nsNMFK=22018.03100100
GNMFK=22018.0391.8266.87
nsNMFK=22018.0391.3667.93
Deep Semi-NMFK=22018.0390.4564.73
Deep nsNMFK=32018.0387.8866.46
nsNMFK=32018.0376.9745.75
NMFK=22018.0376.3631.09
Deep nsNMFK=52018.037660.61
Deep nsNMFK=42018.0372.2754.75
Deep nsNMFK=Avg.2018.0370.6161.44
GNMFK=32018.0368.7939.59
Deep Semi-NMFK=42018.0368.1854.13
Deep nsNMFK=62018.0368.0355.59
Deep Semi-NMFK=32018.0366.0635.59
Deep Semi-NMFK=62018.0365.4553.81
Deep Semi-NMFK=Avg.2018.0363.2551.19
NMFK=42018.0361.8250.32
nsNMFK=Avg.2018.0360.7948.38
Deep Semi-NMFK=52018.0360.7347.14
nsNMFK=52018.0359.6447.06
Deep nsNMFK=92018.0359.656.73
NMFK=32018.0359.3929.21
nsNMFK=42018.0358.8644.24
NMFK=62018.0358.4847.64
Deep nsNMFK=82018.0358.0753.23
Deep Semi-NMFK=82018.0357.2753.34
NMFK=Avg.2018.0357.1943.62
Deep nsNMFK=72018.0357.0152.6
NMFK=52018.0356.9145.76
Deep nsNMFK=102018.0356.6452.99
Deep Semi-NMFK=92018.0356.3651.66
nsNMFK=62018.0355.6144.46
nsNMFK=92018.0355.5648.66
NMFK=92018.0355.1549.76
Deep Semi-NMFK=72018.0353.1249.75
Deep Semi-NMFK=102018.0351.6450.58
nsNMFK=82018.0351.3646.88
GNMFK=52018.0351.0940.76
NMFK=72018.0350.6545.83
nsNMFK=72018.0350.6545.19
GNMFK=Avg.2018.0349.3341.4
NMFK=82018.0349.246.66
GNMFK=42018.0347.7351.29
nsNMFK=102018.0347.0945.27
NMFK=102018.0346.7346.29
GNMFK=62018.0342.1231.67
GNMFK=92018.0338.5936.58
GNMFK=72018.0336.3637.13
GNMFK=102018.0335.0938.92
GNMFK=82018.0332.3929.81