Fast Spectral Clustering with Landmark-Based Subspace Iteration.
Zejun GanChaofeng ShaJunyu NiuPublished in: ICDM Workshops (2013)
Keyphrases
- spectral clustering
- eigendecomposition
- affinity matrix
- low rank representation
- kernel pca
- pairwise
- clustering method
- data clustering
- similarity matrix
- k means
- subspace clustering
- image segmentation
- clustering algorithm
- negative matrix factorization
- spectral methods
- nonnegative matrix factorization
- low dimensional
- high dimensional
- evolutionary clustering
- linear subspace
- constrained spectral clustering
- low rank
- high dimensional data
- objective function
- subspace learning
- pairwise constraints
- dimensionality reduction
- constrained clustering
- eigenvalue decomposition
- alternative clusterings
- cluster analysis
- maximum likelihood
- graph laplacian
- principal component analysis
- object recognition
- feature extraction
- machine learning