Readme.rtf

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\b0\fs32 \cf2 Copyright @ Wenqi Wang, 2017\
The proposed KNN-SC algorithm is KNNG_UOPCA.m in the document. To replicate the reults, cvx is needed to be downloaded from ({\field{\*\fldinst{HYPERLINK "http://cvxr.com/cvx/"}}{\fldrslt \cf4 \strokec4 http://cvxr.com/cvx/}}) with Mosek ({\field{\*\fldinst{HYPERLINK "http://cvxr.com/cvx/doc/mosek.html"}}{\fldrslt \cf4 \strokec4 http://cvxr.com/cvx/doc/mosek.html}}) solver installed.\
To run the code\
(1) run main_2D.m for 2 dimensional synthetic data\
(2) run main_3D.m for 3 dimensional synthetic data\
(3) run main_MNIST for MNIST data clustering\
(4) run main_Motion for motion data clustering\
Note that the comparables in the paper are\
(1) Sparse Subspace Clustering (SSC) ({\field{\*\fldinst{HYPERLINK "http://vision.jhu.edu/code/"}}{\fldrslt \cf4 \strokec4 http://vision.jhu.edu/code/}})\
(2) robust subspace clustering via thresholding (TSC) ({\field{\*\fldinst{HYPERLINK "https://www.nari.ee.ethz.ch/commth/research/downloads/sc.html"}}{\fldrslt \cf4 \strokec4 https://www.nari.ee.ethz.ch/commth/research/downloads/sc.html}})\
(3) Non-negative Contraint Lasso (NCL), which is implemented using Mosek solver in cvx ({\field{\*\fldinst{HYPERLINK "http://cvxr.com/cvx/"}}{\fldrslt \cf4 \strokec4 http://cvxr.com/cvx/}})\
When use the code, please cite the following paper:\
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\cf2 Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model, Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron, Pattern Recognitino Letters, Vol 100, pp 104-109 Available:\'a0{\field{\*\fldinst{HYPERLINK "https://www.sciencedirect.com/science/article/pii/S0167865517303653"}}{\fldrslt \cf4 \strokec4 https://www.sciencedirect.com/science/article/pii/S0167865517303653}}\
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