Research Article

Incomplete Multiview Clustering via Late Fusion

Table 2

Performance comparisons between the initialization and the corresponding late fusion in terms of NMI (%).

ā€‰ProteinFoldFlower17Caltech102DigitalCCVFlower102
InitialLate fusionInitialLate fusionInitialLate fusionInitialLate fusionInitialLate fusionInitialLate fusion

Incomplete sample ratio 20%
BS33.5336.9337.2744.2652.7055.1157.2466.0815.1417.4543.0546.30
ZF34.7937.9641.9546.3957.2158.8644.8554.9813.0613.0939.9040.50
MF35.2737.8742.4547.2357.0758.8444.5651.6013.2313.3639.8340.40
KNN35.1937.9442.6046.4257.2358.9265.5971.3012.5913.3440.0440.44
AF37.1438.8943.8746.8858.1659.3048.0854.4013.8213.2040.3540.51

Incomplete sample ratio 50%
BS28.2734.2039.5243.6448.6252.9645.0363.8410.9416.8435.7443.06
ZF30.0534.1438.2844.5453.3556.1741.3451.878.8812.8237.0438.02
MF31.1034.1537.4544.0253.2656.3340.1749.918.9712.7636.9838.00
KNN33.7335.8338.7444.4254.8656.8065.9069.199.5312.7337.5238.09
AF33.9435.6842.2443.8057.4158.2247.3553.9810.9212.6438.0838.18

Incomplete sample ratio 80%
BS24.6332.5822.1842.5146.8751.3635.2862.277.6115.4529.6639.49
ZF26.0330.2933.3842.7950.9954.0439.0651.518.7612.6235.2135.23
MF27.5030.9233.2842.6350.5353.7535.3848.749.0112.9835.2735.17
KNN32.9233.9934.1841.6453.1454.9558.9562.438.4012.5935.9035.34
AF32.7333.7340.0243.5156.2156.8446.0752.5810.6112.9336.5335.66