A clustering approach using a combination of gravitational search algorithm and k-harmonic means and its application in text document clustering.
Mina MirhosseiniPublished in: Turkish J. Electr. Eng. Comput. Sci. (2017)
Keyphrases
- document clustering
- text clustering
- text mining
- text documents
- gravitational search algorithm
- clustering algorithm
- clustering method
- automatic categorization
- document corpus
- k means
- document collections
- topic detection
- stability analysis
- ant based clustering
- document representation
- document clusters
- multi objective
- swarm intelligence
- text analysis
- clustering quality
- parameter identification
- tolerance rough set
- topic models
- cluster analysis
- optimization methods
- clustering approaches
- information retrieval
- text classification
- natural language processing
- keywords
- text categorization
- wordnet
- information extraction
- knowledge discovery
- bisecting k means
- expectation maximization
- pairwise constraints
- probabilistic model
- pairwise
- feature selection
- search engine
- neural network