L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.
Sangho SuhJaegul ChooJoonseok LeeChandan K. ReddyPublished in: ICDM (2016)
Keyphrases
- nonnegative matrix factorization
- topic discovery
- text analysis
- negative matrix factorization
- data representation
- matrix factorization
- topic models
- least squares
- text classification
- latent dirichlet allocation
- spectral clustering
- principal component analysis
- neural network
- document clustering
- training set
- training data
- objective function
- feature selection
- lda model
- machine learning
- knowledge discovery
- optical flow
- original data
- image segmentation
- learning algorithm