An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering.
Mohammad-Amin JashkiMajid MakkiEbrahim BagheriAli A. GhorbaniPublished in: Canadian Conference on AI (2009)
Keyphrases
- document clustering
- feature selection
- wrapper method
- text mining
- text documents
- document collections
- text categorization
- clustering algorithm
- clustering method
- support vector machine
- document representation
- tf idf
- document clusters
- topic extraction
- vector space model
- negative matrix factorization
- feature space
- dimensionality reduction
- text classification
- cluster analysis
- pairwise constraints
- data mining
- knn
- k means
- support vector
- feature extraction
- unsupervised learning
- ant based clustering
- feature subset
- knowledge discovery
- multimedia
- information retrieval
- machine learning