Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization.
Le LiJianjun YangYang XuZhen QinHonggang ZhangPublished in: CoRR (2014)
Keyphrases
- negative matrix factorization
- document clustering
- nonnegative matrix factorization
- sparse representation
- latent semantic space
- matrix factorization
- document collections
- constrained least squares
- text documents
- clustering method
- text mining
- principal component analysis
- vector space model
- document representation
- web documents
- spectral clustering
- information retrieval
- retrieval systems
- information retrieval systems
- tensor factorization
- n gram
- input data
- data mining techniques
- information extraction
- digital libraries
- image segmentation
- machine learning