A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features.
Cengiz PehlevanDmitri B. ChklovskiiPublished in: CoRR (2015)
Keyphrases
- negative matrix factorization
- sparse representation
- hebbian learning
- feature extraction
- unsupervised feature selection
- principal component analysis
- document clustering
- clustering algorithm
- sparsity constraints
- constrained least squares
- nonnegative matrix factorization
- matrix factorization
- cluster analysis
- feature space
- signal processing
- image features
- data points
- tensor factorization
- high dimensional
- machine learning