Subspace Clustering

@article{Vidal2011SubspaceC,
  title={Subspace Clustering},
  author={Ren{\'e} Vidal},
  journal={IEEE Signal Processing Magazine},
  year={2011},
  volume={28},
  pages={52-68}
}
Over the past few decades, significant progress has been made in clustering high-dimensional data sets distributed around a collection of linear and affine subspaces. This article presented a review of such progress, which included a number of existing subspace clustering algorithms together with an experimental evaluation on the motion segmentation and face clustering problems in computer vision. 
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