A Novel Hybrid Algorithm Based on K-Means and Evolutionary Computations for Real Time Clustering.
Taha MansouriAhad Zare RavasanMohammad Reza GholamianPublished in: Int. J. Data Warehous. Min. (2014)
Keyphrases
- hybrid algorithm
- k means
- imperialist competitive algorithm
- real time
- clustering algorithm
- genetic algorithm
- clustering method
- data clustering
- particle swarm optimization
- spectral clustering
- cluster analysis
- simulated annealing
- differential evolution
- hierarchical clustering
- self organizing maps
- standard test problems
- particle swarm algorithm
- fuzzy k means
- cluster centers
- artificial bee colony algorithm
- particle swarm optimization pso
- ant algorithm
- unsupervised clustering
- clustering approaches
- rough k means
- ant colony optimization
- constrained clustering
- hybrid optimization algorithm
- optimal solution
- tabu search
- optimization method
- premature convergence
- data points
- hybrid algorithms
- initial cluster centers
- hybrid method
- clustering quality
- fuzzy c means
- evolutionary computation
- genetic programming
- ant colony optimization algorithm
- hybrid particle swarm optimization
- clustering result
- cluster ensemble
- neural network