Improving the performance of feature selection and data clustering with novel global search and elite-guided artificial bee colony algorithm.
Zhenxin DuDezhi HanKuan-Ching LiPublished in: J. Supercomput. (2019)
Keyphrases
- data clustering
- artificial bee colony algorithm
- global search
- particle swarm optimization algorithm
- feature selection
- unsupervised feature selection
- unsupervised learning
- convergence speed
- particle swarm optimization
- hybrid algorithm
- simulated annealing
- clustering algorithm
- global optimization
- genetic algorithm
- tabu search
- cluster analysis
- search algorithm
- pso algorithm
- dimensionality reduction
- search space
- k means
- multiobjective optimization
- feature extraction
- artificial bee colony
- text classification
- differential evolution
- microarray data
- model selection
- object recognition
- motif discovery
- control parameters
- multi objective
- training data