Efficient Semisupervised MEDLINE Document Clustering With MeSH-Semantic and Global-Content Constraints.
Jun GuWei FengJia ZengHiroshi MamitsukaShanfeng ZhuPublished in: IEEE Trans. Cybern. (2013)
Keyphrases
- document clustering
- text mining
- clustering approaches
- semantic information
- clustering algorithm
- document representation
- semantic similarity
- pairwise constraints
- biomedical literature
- clustering method
- document similarity
- related documents
- vector space model
- semi supervised
- document collections
- tolerance rough set
- information extraction
- metadata
- text documents
- cluster analysis
- k means
- negative matrix factorization
- document clusters
- wordnet
- co occurrence
- image features
- natural language
- training data
- multimedia
- knowledge base
- national library of medicine
- data mining