articleIEEE Signal Processing MagazineFeb 18, 2011Closed access

Subspace Clustering

Applied Visions (United States)

Indexed incrossref

Abstract

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.

Citation impact

666
total citations
FWCI
36.85
Percentile
100%
References
63
Citations per year

Authors

1

Topics & keywords

Keywords
  • Cluster analysis
  • Computer science
  • Linear subspace
  • Affine transformation
  • Artificial intelligence
  • Clustering high-dimensional data
  • Correlation clustering
  • Pattern recognition (psychology)
No related works found for this paper.