Two-Stage Decomposition Method Based on Cooperation Coevolution for Feature Selection on High-Dimensional Classification.
Yanli WangBoyang QuJane-Jing LiangYunpeng WeiCaitong YueYi HuHui SongPublished in: IEEE Access (2019)
Keyphrases
- decomposition method
- feature selection
- high dimensional
- high dimensionality
- classification accuracy
- feature space
- classification models
- feature extraction
- machine learning
- support vector
- text classification
- support vector machine
- decomposition methods
- feature selection algorithms
- tree decomposition
- small sample size
- dimensionality reduction
- feature set
- small sample
- image classification
- dimension reduction
- gene expression data
- accurate classification
- class separability
- training samples
- decomposition algorithm
- model selection
- irrelevant features
- training set
- pattern recognition
- classification method
- microarray data
- multi agent systems
- variable selection
- cooperative
- class imbalance
- multi agent
- high dimension
- cross validation
- discriminative features
- data points
- training data
- selected features
- classification algorithm
- unsupervised learning
- low dimensional
- nearest neighbor
- multi class
- redundant features
- feature selection and classification