Spectral clustering steered low-rank representation for subspace segmentation.
Lai WeiXiaofeng WangJun YinAihua WuPublished in: J. Vis. Commun. Image Represent. (2016)
Keyphrases
- total variation
- low rank representation
- affinity matrix
- spectral clustering
- low rank
- clustering method
- pairwise
- data clustering
- image processing
- image segmentation
- normalized cut
- subspace clustering
- clustering algorithm
- graph matching
- linear subspace
- graph laplacian
- high dimensional data
- eigendecomposition
- graph partitioning
- nearest neighbor
- similarity matrix
- k means
- inference process
- data mining
- learning algorithm