Evolutionary Feature Selection Method via A Chaotic Binary Dragonfly Algorithm.
Zhao LiuAimin WangGeng SunJiahui LiHaiming BaoHongjuan LiPublished in: SMC (2022)
Keyphrases
- cost function
- improved algorithm
- high accuracy
- dynamic programming
- detection algorithm
- experimental evaluation
- preprocessing
- computational cost
- significant improvement
- clustering method
- detection method
- feature selection
- objective function
- optimization algorithm
- estimation algorithm
- k means
- computationally efficient
- recognition algorithm
- convergence rate
- computational complexity
- segmentation algorithm
- theoretical analysis
- optimization method
- support vector machine svm
- classification method
- classification algorithm
- input data
- em algorithm
- support vector machine
- hamming distance
- matching algorithm
- learning algorithm
- conditional mutual information
- selection algorithm
- probabilistic model
- chaotic sequence
- similarity measure
- feature weighting
- expectation maximization
- tree structure
- binary tree
- markov blanket
- mutual information
- support vector classification
- classification accuracy
- support vector
- irrelevant features
- selecting relevant features
- neural network
- segmentation method
- energy function
- model selection
- feature set
- multi class
- feature vectors
- machine learning