Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering.
Feiping NieZinan ZengIvor W. TsangDong XuChangshui ZhangPublished in: IEEE Trans. Neural Networks (2011)
Keyphrases
- spectral clustering
- clustering method
- k means
- clustering algorithm
- normalized cut
- data clustering
- spectral methods
- pairwise
- laplacian matrix
- similarity matrix
- image segmentation
- evolutionary clustering
- alternative clusterings
- constrained spectral clustering
- graph clustering
- clustering quality
- unsupervised learning
- unsupervised clustering
- clustering result
- nonnegative matrix factorization
- association rules
- classical clustering algorithms
- feature space