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I am trying to write a framework in Python to compare different Dimensional-Reduction-Algorithms and I'm looking for a tutorial or implementation which uses subspace clustering Algorithms such as TSC, SSC, SSC-OMP for this goal. There is some Code written in Matlab related to this paper, but they are for me a little complicated to understand. I was wondering, if there is any library or implementaion in python for these.

Niels Henkens
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morteza rahimi
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  • Related question about subspace algorithms in scikit-learn: https://stackoverflow.com/questions/33483160/is-there-any-kind-of-subspace-clustering-package-available-in-scikit-learn – turtlemonvh Jan 07 '19 at 14:51
  • It looks like the pyclustering package (https://github.com/annoviko/pyclustering/issues/381) will have CLIQUE subspace clustering implemented soon. They are also interested in SSC (https://github.com/annoviko/pyclustering/issues/461). – turtlemonvh Jan 07 '19 at 14:55
  • Here is SSC-MPS (from quick Googling...): https://github.com/mitscha/ssc_mps_py – turtlemonvh Jan 07 '19 at 14:56
  • This package also has some implementations: https://github.com/siolag161/subspace_clustering. Docs: https://stage-document.readthedocs.io/en/latest/clustering.html. It looks like that library wraps the OpenSubspace project (based on Weka). – turtlemonvh Jan 07 '19 at 15:13

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