An application of a metaheuristic algorithm-based clustering ensemble method to APP customer segmentation.
Ren-Jieh KuoC. H. MeiFerani E. ZulviaC. Y. TsaiPublished in: Neurocomputing (2016)
Keyphrases
- k means
- metaheuristic
- simulated annealing
- ant colony optimization
- np hard
- clustering method
- search space
- data clustering
- combinatorial optimization
- optimal solution
- preprocessing
- cost function
- clustering analysis
- ensemble methods
- benchmark problems
- particle swarm optimization
- scatter search
- harmony search
- search algorithm
- customer segmentation
- vehicle routing problem
- optimization algorithm
- optimization method
- learning algorithm
- optimization problems
- scheduling problem
- objective function
- training data