Combining K-Means and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering.
Md Zahidul IslamVladimir Estivill-CastroMd Anisur RahmanTerry BossomaierPublished in: Expert Syst. Appl. (2018)
Keyphrases
- genetic operators
- k means
- genetic algorithm
- evolutionary algorithm
- high quality
- fitness function
- clustering algorithm
- clustering method
- crossover and mutation
- cluster analysis
- data clustering
- genetic algorithm ga
- genetic search
- hierarchical clustering
- mutation operator
- crossover operator
- hybrid genetic algorithm
- self organizing maps
- evolution strategy
- document clustering
- unsupervised clustering
- spectral clustering
- coevolutionary algorithm
- evolutionary computation
- rough k means
- differential evolution
- particle swarm optimization
- fuzzy k means
- genetic programming
- simulated annealing
- neural network
- cluster centers
- clustering approaches
- job shop scheduling problem
- initial cluster centers
- metaheuristic
- multi objective
- clustering quality
- tabu search
- artificial neural networks
- optimization method
- premature convergence
- multi objective optimization
- initial population