The MATLAB code provided corresponds to the algorithms mentioned in
P. A. Traganitis and G. B. Giannakis, "Sketched Subspace Clustering," IEEE Transactions on Signal Processing.

To see a demo of the proposed methods on the Extended Yale Face database B, please run demo_Yale.m
To see a demo of the proposed methods on the COIL-100 dataset, please run demo_COIL.m

Code for the Low-rank representation algorithm (LRR) is a slightly modified version of the code downloaded from: 
https://sites.google.com/site/guangcanliu/

If you wish to run the current code using approximate nearest neighbors, please download the VLfeat package from
http://www.vlfeat.org/ and place it in a folder named 'vl_toolbox'. Afterwards set vl_feat = true in the file demo_Yale.m.
The current code works with VLFeat version 0.9.20, and MATLAB R2017a.

For any questions or comments please email: traga003@umn.edu
