A Frequent Term-Based Multiple Clustering Approach for Text Documents.
Hai-Tao ZhengHao ChenShu-Qin GongPublished in: APWeb (2014)
Keyphrases
- text documents
- document clustering
- text mining
- document representation
- text clustering
- text representation
- text classification
- wordnet
- information extraction
- text categorization
- term frequency
- clustering method
- bag of words
- clustering algorithm
- keywords
- tf idf
- topic models
- unsupervised learning
- text data
- machine learning
- text collections
- feature selection
- image processing
- named entities
- data sets
- bayesian networks
- multiscale
- information retrieval
- k means