Clustering by Low-Rank Doubly Stochastic Matrix Decomposition
Zhirong YangErkki OjaPublished in: CoRR (2012)
Keyphrases
- matrix decomposition
- low rank
- nonnegative matrix factorization
- high dimensional data
- missing data
- matrix factorization
- low rank matrix
- linear combination
- convex optimization
- kernel matrix
- clustering algorithm
- singular value decomposition
- semi supervised
- data summarization
- k means
- singular values
- high order
- negative matrix factorization
- spectral clustering
- clustering method
- latent structure
- data points
- data representation
- low rank approximation
- data clustering
- data matrix
- data analysis
- document clustering
- multidimensional scaling
- image processing
- pairwise
- least squares
- principal component analysis
- dimensionality reduction