Research Article

A Folded Concave Penalty Regularized Subspace Clustering Method to Integrate Affinity and Clustering

Table 1

Performance on Extended Yale B.

MethodsSSCLRRLRSCKSSCSSC-OMPEDSCS3CSSRSCTLRRKTRROur method

CA (%)
79.377.871.278.279.281.380.577.471.381.882.5
82.780.474.880.881.283.682.978.673.283.884.2
85.784.778.284.585.986.385.481.376.887.087.8

76.966.561.272.874.679.078.575.069.779.580.2
78.367.963.375.375.481.880.676.171.381.482.3
82.470.365.177.480.784.773.479.674.384.584.9

NMI
0.39980.53510.41950.37490.40340.58450.52900.46710.40230.60180.6122
0.42720.55430.44330.40340.42130.62290.54390.47340.41940.63260.6433
0.44830.58340.45840.43230.45490.64340.57450.50320.44830.66930.6853

0.48370.55110.55330.47830.48550.55840.55310.53210.41990.62420.6329
0.50480.57380.57540.48930.50340.57450.56330.55830.42840.63830.6508
0.54380.61820.61370.50320.51380.60560.58440.58220.44090.65940.6683

Purity
0.54910.65820.56670.52860.55430.66830.63820.61820.54690.69700.7094
0.54380.66430.59850.54540.55670.67820.64330.62830.55890.70930.7233
0.55820.68020.60870.55630.57580.69630.66460.65040.57610.72760.7586

0.51910.58180.46930.50840.52080.60870.55820.55910.44130.65360.6676
0.52630.60620.48760.52940.53890.61280.57230.55900.45920.66850.6698
0.53760.62650.50830.55090.55180.63850.58680.56340.47030.68560.6865