Feature selection with modified lion's algorithms and support vector machine for high-dimensional data.
Kuan-Cheng LinJason C. HungJhen-ting WeiPublished in: Appl. Soft Comput. (2018)
Keyphrases
- high dimensional data
- feature selection
- high dimensionality
- support vector machine
- dimensionality reduction
- high dimensional
- high dimensional spaces
- low dimensional
- data sets
- learning algorithm
- high dimensional datasets
- feature space
- nearest neighbor
- dimension reduction
- manifold learning
- high dimensions
- input space
- data structure
- text categorization
- feature extraction
- data points
- hyperplane
- feature selection algorithms
- subspace clustering
- small sample
- clustering high dimensional data
- lower dimensional
- gene expression data
- data distribution
- similarity search
- principal component analysis
- data analysis
- neural network