Subspace clustering - Open Access .click

IEEE Transactions on Neural Networks and Learning Systems, 2020
In this article, we propose a deep extension of sparse subspace clustering, termed deep subspace clustering with L1-norm (DSC-L1). Regularized by the unit sphere distribution assumption for the learned deep features, DSC-L1 can infer a new data affinity matrix by simultaneously satisfying the sparsity principle of SSC and the nonlinearity given by ...
Xi Peng, Jiashi Feng, Joey Tianyi Zhou
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Generalized Independent Subspace Clustering

2016 IEEE 16th International Conference on Data Mining (ICDM), 2016
Data can encapsulate different object groupings in subspaces of arbitrary dimension and orientation. Finding such subspaces and the groupings within them is the goal of generalized subspace clustering. In this work we present a generalized subspace clustering technique capable of finding multiple non-redundant clusterings in arbitrarily-oriented ...
Wei Ye 0001 +3 more
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Subspace Clustering

IEEE Signal Processing Magazine, 2011
René Vidal
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fos: computer and information sciences
machine learning cs.lg
computer science - machine learning

statistics - machine learning
machine learning stat.ml
spectral clustering

information theory cs.it
computer science - information theory
computer vision and pattern recognition cs.cv