Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix.
Lei QiYinghuan ShiHuihui WangWanqi YangYang GaoPublished in: IDEAL (2016)
Keyphrases
- affinity matrix
- multi view
- subspace clustering
- low rank
- high dimensional data
- semi supervised
- multiple views
- clustering method
- clustering algorithm
- high dimensional
- d objects
- three dimensional
- missing data
- decision trees
- high dimensionality
- dimensionality reduction
- k means
- spectral clustering
- manifold learning
- pairwise
- data analysis
- linear subspace
- pattern recognition