# 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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