Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization.
Yihuang KangKeng-Pei LinI-Ling ChengPublished in: CoRR (2018)
Keyphrases
- negative matrix factorization
- nonnegative matrix factorization
- principal component analysis
- document clustering
- sparse representation
- matrix factorization
- latent semantic space
- constrained least squares
- spectral clustering
- tensor factorization
- topic models
- feature extraction
- data mining
- dimensionality reduction
- co occurrence
- semi supervised
- knowledge representation
- feature space
- multiscale
- sparsity constraints