A Hebbian/Anti-Hebbian network derived from online non-negative matrix factorization can cluster and discover sparse features.
Cengiz PehlevanDmitri B. ChklovskiiPublished in: ACSSC (2014)
Keyphrases
- negative matrix factorization
- sparse representation
- hebbian learning
- unsupervised feature selection
- basis vectors
- feature extraction
- principal component analysis
- nonnegative matrix factorization
- pattern recognition
- feature space
- feature vectors
- regularized least squares
- sparsity constraints
- constrained least squares
- data clustering