Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering.
Hafiz Tiomoko AliAbla KammounRomain CouilletPublished in: ICASSP (2018)
Keyphrases
- spectral clustering
- affinity matrix
- laplacian matrix
- similarity matrix
- kernel pca
- eigendecomposition
- positive definite
- eigenvalue decomposition
- normalized cut
- graph laplacian
- clustering method
- pairwise
- graph kernels
- data clustering
- k means
- low rank approximation
- spectral methods
- evolutionary clustering
- spectral relaxation
- image segmentation
- constrained spectral clustering
- markov chain
- kernel methods
- clustering algorithm
- negative matrix factorization
- vector space
- feature space
- co occurrence
- random walk
- covariance matrix
- subspace clustering
- graph partitioning
- pairwise constraints
- kernel matrix
- nonnegative matrix factorization
- low dimensional
- active learning
- support vector