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.