Revisiting Clustering as Matrix Factorisation on the Stiefel Manifold.
Stéphane ChrétienBenjamin GuedjPublished in: LOD (1) (2020)
Keyphrases
- matrix factorisation
- euclidean space
- em algorithm
- clustering algorithm
- clustering method
- nonnegative matrix factorization
- k means
- manifold learning
- unsupervised learning
- information theoretic
- low dimensional
- data points
- high dimensional
- feature space
- data sets
- distance metric
- document clustering
- optical flow
- riemannian manifolds
- image processing