A logistic non-negative matrix factorization approach to binary data sets.
Ana Maria ToméReinhard SchachtnerVincent VigneronCarlos García PuntonetElmar Wolfgang LangPublished in: Multidimens. Syst. Signal Process. (2015)
Keyphrases
- negative matrix factorization
- data sets
- nonnegative matrix factorization
- matrix factorization
- sparse representation
- document clustering
- constrained least squares
- principal component analysis
- sparsity constraints
- tensor factorization
- training set
- similarity measure
- high dimensional data
- spectral clustering
- latent semantic space
- collaborative filtering
- nearest neighbor
- digital libraries
- multiscale
- training data
- neural network