Feature selection by recursive binary gravitational search algorithm optimization for cancer classification.
Xiaohong HanDengao LiPing LiuLi WangPublished in: Soft Comput. (2020)
Keyphrases
- prediction accuracy
- cancer classification
- feature selection
- gene selection
- binary gravitational search algorithm
- microarray
- microarray data
- random forest
- gene expression data
- cancer diagnosis
- gene expression profiling
- optimization algorithm
- gene expression profiles
- quantum inspired
- binary particle swarm optimization
- mutual information
- machine learning
- microarray datasets
- global optimization
- gene expression
- information gain
- feature extraction
- high dimensionality
- clustering algorithm
- multi class
- text classification
- optimization problems
- dimensionality reduction
- feature subset
- optimization methods
- feature subset selection
- experimental conditions
- text categorization