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
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Authors
1Topics & keywords
Topics
Keywords
- Cluster analysis
- Computer science
- Linear subspace
- Affine transformation
- Artificial intelligence
- Clustering high-dimensional data
- Correlation clustering
- Pattern recognition (psychology)
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