Exploring Nonnegative and Low-Rank Correlation for Noise-Resistant Spectral Clustering.
Zheng WangCai NaZeyu MaSi ChenLingyun SongYang YangPublished in: APWeb/WAIM (2) (2019)
Keyphrases
- cluster analysis
- spectral clustering
- noise resistant
- low rank
- nonnegative matrix factorization
- data clustering
- matrix decomposition
- clustering method
- affinity matrix
- k means
- clustering algorithm
- low rank matrix
- low rank approximation
- matrix factorization
- missing data
- convex optimization
- low rank representation
- singular value decomposition
- eigendecomposition
- linear combination
- matrix completion
- high dimensional data
- semi supervised
- pairwise
- high order
- data analysis
- kernel matrix
- similarity matrix
- negative matrix factorization
- manifold structure
- graph laplacian
- normalized cut
- objective function
- graph partitioning
- least squares
- small number
- recommender systems
- dimensionality reduction
- graph matching
- machine learning