Spectral clustering: Difference between revisions

Revision as of 11:04, 2 December 2013

Revision as of 15:18, 20 January 2014

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Spectral clustering is closely related to [[Nonlinear dimensionality reduction]], and dimension reduction techniques such as locally-linear embedding can be used to reduce errors from noise or outliers.<ref>{{Citation

| author = DhillonArias-Castro, I.SE. and GuanChen, YG. and KulisLerman, BG.

| title = Spectral clustering based on local linear approximations.

| journal = Electronic Journal of Statistics | volume = 5 | page = 1537-1587