5 Noise-Resistant Unsupervised Feature Selection via Multi-Perspective
Correlations 121
5.1 Chapter Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 121
5.2 Notations and Background . . . . . . . . . . . . . . . . . . . . . . 128
5.3 Multi-perspective Unsupervised Feature Selection . . . . . . . . . . 129
5.4 Noise-Resistant and Density-Preserving Sampling . . . . . . . . . . 135
5.5 Noise-Resistant Feature Selection and Theoretical Connections . . . 137
5.6 Experimental Analysis . . . . . . . . . . . . . . . . . . . . . . . . 139
5.7 Chapter Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . 144