Decomposing Temperature Time Series with Non-Negative Matrix Factorization.
Peter WeidererAna Maria ToméElmar Wolfgang LangPublished in: CoRR (2019)
Keyphrases
- negative matrix factorization
- matrix factorization
- sparse representation
- nonnegative matrix factorization
- principal component analysis
- document clustering
- constrained least squares
- feature extraction
- artificial intelligence
- sparsity constraints
- tensor factorization
- spectral clustering
- collaborative filtering
- missing data
- low rank
- feature vectors
- data analysis
- multiscale
- data mining
- latent semantic space