A Hamming distance based binary particle swarm optimization (HDBPSO) algorithm for high dimensional feature selection, classification and validation.
Haider BankaSuresh DaraPublished in: Pattern Recognit. Lett. (2015)
Keyphrases
- binary particle swarm optimization
- feature selection
- classification algorithm
- classification accuracy
- high dimensional
- optimal solution
- support vector machine svm
- simulated annealing
- feature selection algorithms
- feature space
- machine learning
- np hard
- irrelevant features
- convergence rate
- global optimization
- feature reduction
- particle swarm
- text classification
- recently developed
- particle swarm optimization
- decision trees
- cost function
- computational complexity
- objective function
- ant colony optimization
- feature set
- scheduling problem
- particle swarm optimization algorithm
- newly developed
- search space
- training set