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Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel.

Xuqian XueXiaoqian ZhangXinghua FengHuaijiang SunWei ChenZhigui Liu
Published in: Inf. Sci. (2020)
Keyphrases
  • low rank approximation
  • kernel matrix
  • feature space
  • subspace learning
  • principal component analysis
  • kernel methods
  • convex optimization
  • convex hull
  • machine learning
  • pattern recognition
  • high dimensional
  • denoising