Effects of widely separated clusters on lotto-type competitive learning with particle swarm features.
Andrew LukSandra LienPublished in: IJCNN (2009)
Keyphrases
- competitive learning
- particle swarm
- self organizing maps
- data clustering
- feature maps
- particle swarm optimization
- widely separated
- clustering algorithm
- feature vectors
- feature extraction
- feature set
- information theoretic
- swarm intelligence
- optimization methods
- computational intelligence
- multi objective
- optimization method
- object recognition
- training data
- neural network