Improving the JADE algorithm by clustering successful parameters.
Zhijian LiJinglei GuoShengxiang YangPublished in: Int. J. Wirel. Mob. Comput. (2016)
Keyphrases
- k means
- expectation maximization
- np hard
- clustering method
- experimental evaluation
- optimal solution
- synthetic and real datasets
- clustering algorithm
- detection algorithm
- computational complexity
- preprocessing
- high accuracy
- learning algorithm
- parameter tuning
- objective function
- optimization algorithm
- parameter settings
- hierarchical clustering
- times faster
- optimal parameters
- segmentation algorithm
- em algorithm
- particle swarm optimization
- input data
- dynamic programming
- genetic algorithm
- distance metric
- levenberg marquardt
- hierarchical clustering algorithm
- nonnegative matrix factorization
- similarity measure
- density function
- density based clustering
- similarity function
- spectral clustering
- probabilistic model
- self organizing maps
- multi agent systems
- search space
- maximum likelihood
- worst case