A novel clustering method built on random weight artificial neural networks and differential evolution.
Ömer Faruk ErtugrulPublished in: Soft Comput. (2020)
Keyphrases
- clustering method
- differential evolution
- adaptive differential evolution
- artificial neural networks
- evolutionary algorithm
- initial population
- differential evolution algorithm
- genetic algorithm
- optimization algorithm
- particle swarm optimization
- convergence speed
- parameter optimization
- mutation operator
- test functions
- clustering algorithm
- optimization method
- particle swarm optimization pso
- hybrid algorithm
- spectral clustering
- hierarchical clustering
- cluster analysis
- fuzzy c means
- evolution strategy
- numerical optimization problems
- clustering framework
- similarity measure
- k means
- document clustering
- global optimization problems
- affinity propagation
- multi objective
- back propagation
- neural network
- computational intelligence
- crossover operator
- artificial bee colony
- real coded
- subspace clustering
- genetic algorithm ga
- image segmentation
- solving global optimization problems
- pairwise
- fitness function
- neural network model