Python implementation of Sparse Subspace Clustering algorithm

Sparse Subspace Clustering is a subspace clustering algorithm based on techniques from sparse representation theory.

• See Sparse Subspace Clustering for more information.
• This implementation is based on SSC code for MATLAB (using CVX) provided by JHU Vision Lab.
• Requirements - numpy, scipy, sklearn, cvxpy. Tested with Python 3.
• cvxpy python package can be installed from cvxpy page.
• Start exploring with SSC.py. SSC_test() method in this file provides a basic example of subspace clustering. To run: python SSC.py.

Note: A significant effort went into this code. If you decide to use this code, I would really appreciate an email at garg26@wisc.edu.