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Subspace Clustering

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1 Author(s)
Vidal, R. ; He was coeditor of the book Dynamical Vision and has coauthored more than 100 articles in biomedical image analysis, computer vision, machine learning, hybrid systems, and robotics.

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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Signal Processing Magazine, IEEE  (Volume:28 ,  Issue: 2 )