Kernel Spectral Curvature Clustering (KSCC)

KSCC is the kernelization of the Spectral Curvature Clustering (SCC) algorithm for clustering certain nonlinear manifolds.

Publication

• Kernel Spectral Curvature Clustering (KSCC) [PDF], G. Chen, S. Atev and G. Lerman, The 4th ICCV Workshop on Dynamical Vision, September 2009, Kyoto, Japan.^{Best paper award}

Related Papers

• Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling [PDF], G. Chen and G. Lerman, Found. Comput. Math. (2009) 9: 517–558, DOI 10.1007/s10208-009-9043-7.
• Spectral Curvature Clustering (SCC) [PDF], G. Chen and G. Lerman, Int. J. Comput. Vis. (2009) 81: 317–330, DOI 10.1007/s11263-008-0178-9.

Matlab Code

• KSCC (implemented by Stefan Atev)

Supplemental Data

• Artificial Data used in the paper

Contact Info

• Gilad Lerman, lerman (at) umn.edu
• Guangliang Chen, guangliang.chen (at) sjsu.edu

Acknowledgement

• The research described here was supported by NSF grants #0612608 and #0915064.

Last updated on January 30, 2010. Maintained by Guangliang Chen.