This page is under construction. In the meantime you can:

Download the subspace clustering / segmentation MATLAB code that is presented in the paper

Vasileios Zografos, Liam Ellis, Rudolf Mester Discriminative Subspace Clustering. CVPR 2013

Get the code here

You will also need PRtools for the quadratic classifier (will remove this dependency in the near future). Get a local copy of PRtools here



Instructions:

Unzip "DiSC.zip" a single folder. Unzip; "prtools.zip" anywhere you like and add a path to it in Matlab. Then, given a data matrix W=[D,N] where D=number of ambient dimensions and N=number of points, simply run

[I,I_ALL,ProjectionMatrix]=DiSC(W,dim,final_clusters,'quadrc',lambda,Ensembles);

where:





Some results:

The MNIST dataset







The YaleB dataset (including background)







Synthetic subspace dataset (To be released soon)

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