junli2019 / PLrSC

Projective Low-rank Subspace Clustering via Learning Deep Encoder

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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% PLrSC %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Jun Li, Hongfu Liu, Handong Zhao and Yun Fu, Projective Low-rank Subspace 
% Clustering via Learning Deep Encoder, IJCAI 2017.

PLrSCdemo.m    % the main file.

PLrSCdemo is a demo on small subset (including 2000 samples) of MNIST. 
We compute the feature vectors of each image by using a scattering 
convolution network [Bruna and Mallat, 2013]. The size is 3,472 and 
it is dropped to 500 dimensions by PCA. 











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Projective Low-rank Subspace Clustering via Learning Deep Encoder


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