Graph-regularized least squares regression for multi-view subspace clustering.
Yongyong ChenShuqin WangFangying ZhengYigang CenPublished in: Knowl. Based Syst. (2020)
Keyphrases
- multi view
- subspace clustering
- regularized least squares
- reproducing kernel hilbert space
- high dimensional data
- single view
- sparse representation
- support vector regression
- multiple views
- clustering method
- d objects
- clustering algorithm
- high dimensional
- loss function
- regression model
- kernel methods
- high dimensionality
- semi supervised
- co training
- data sets
- three dimensional
- generative model
- dimensionality reduction
- learning problems
- active learning
- support vector
- regularization term
- computer vision