theory of PCA and spectral clustering.
Emmanuel AbbeJianqing FanKaizheng WangPublished in: CoRR (2020)
Keyphrases
- spectral clustering
- kernel pca
- k means
- negative matrix factorization
- clustering method
- pairwise
- data clustering
- principal component analysis
- nonnegative matrix factorization
- graph laplacian
- image segmentation
- graph partitioning
- constrained spectral clustering
- eigendecomposition
- pairwise constraints
- feature extraction
- spectral methods
- clustering algorithm
- normalized cut
- constrained clustering
- independent component analysis
- alternative clusterings
- affinity matrix
- label propagation
- face recognition
- similarity matrix
- high dimensional
- support vector machine
- dimensionality reduction
- laplacian matrix
- dimension reduction
- data mining