Semi-supervised concept factorization for document clustering.
Mei LuXiang-Jun ZhaoLi ZhangFanzhang LiPublished in: Inf. Sci. (2016)
Keyphrases
- document clustering
- semi supervised
- pairwise constraints
- semi supervised document clustering
- semi supervised clustering
- document representation
- clustering algorithm
- document collections
- clustering method
- text mining
- document clusters
- negative matrix factorization
- pairwise
- topic extraction
- text documents
- labeled data
- active learning
- cluster analysis
- databases
- unlabeled data
- tolerance rough set
- k means
- search engine
- clustering approaches
- feature selection
- knowledge base
- subspace learning
- nonnegative matrix factorization
- digital libraries
- semi supervised learning
- generative model
- probabilistic model