Unsupervised separation of nonlinearly mixed event-related potentials using manifold clustering and non-negative matrix factorization.
Kai ZhangXiaogang HuPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- negative matrix factorization
- document clustering
- unsupervised feature selection
- nonnegative matrix factorization
- spectral clustering
- event related potentials
- probabilistic latent semantic analysis
- unsupervised learning
- clustering algorithm
- clustering method
- matrix factorization
- principal component analysis
- blind source separation
- sparse representation
- manifold learning
- semi supervised
- k means
- cluster analysis
- data mining
- text mining
- pairwise
- image processing
- high dimensional data
- image classification
- text documents
- collaborative filtering
- nearest neighbor
- probabilistic model
- high dimensional
- multiscale
- image segmentation
- feature selection
- data sets