Opposition chaotic fitness mutation based adaptive inertia weight BPSO for feature selection in text clustering.
Kusum Kumari BhartiPramod Kumar SinghPublished in: Appl. Soft Comput. (2016)
Keyphrases
- inertia weight
- text clustering
- fitness values
- particle swarm optimization
- particle swarm optimization algorithm
- genetic algorithm
- particle swarm optimization pso
- feature selection
- pso algorithm
- text categorization
- inertia weight particle swarm optimization
- global search
- evolutionary algorithm
- fitness function
- convergence speed
- differential evolution
- mutation operator
- genetic algorithm ga
- text mining
- evolution strategy
- clustering algorithm
- document clustering
- particle swarm
- global optimization
- crossover and mutation
- multi objective
- background knowledge
- hierarchical clustering
- convergence rate
- text documents
- premature convergence
- text classification
- text data
- simulated annealing
- optimization algorithm
- text collections
- genetic programming
- particle swarm optimisation
- wordnet
- hybrid algorithm
- user feedback
- feature weighting
- k means
- machine learning
- swarm intelligence
- ant colony optimization
- knn
- self organizing maps
- particle swarm optimizer
- information retrieval
- crossover operator
- co occurrence
- neural network
- metric learning
- optimization method
- feature space
- metaheuristic
- document collections
- unsupervised learning