A novel multi-view clustering method via low-rank and matrix-induced regularization.
Yang ZhaoYong DouXinwang LiuTeng LiPublished in: Neurocomputing (2016)
Keyphrases
- clustering method
- multi view
- low rank
- trace norm
- rank minimization
- semi supervised
- multi view learning
- matrix completion
- multiple views
- convex optimization
- missing data
- low rank matrix
- high dimensional data
- matrix factorization
- linear combination
- singular value decomposition
- subspace clustering
- three dimensional
- pairwise
- similarity measure
- clustering algorithm
- cluster analysis
- high order
- data matrix
- k means
- document clustering
- spectral clustering
- d objects
- bundle adjustment
- semi supervised learning
- unsupervised learning
- data sets
- feature space
- training set
- high dimensionality
- unlabeled data
- image processing