A method for feature selection based on the optimal hyperplane of SVM and independent analysis.
Lin-Fang HuWei GongLi-Xiao QiPing WangPublished in: ICMLC (2013)
Keyphrases
- hyperplane
- support vector
- support vector machine
- kernel function
- average distance
- data points
- method for feature selection
- convex hull
- data sets
- support vector machine svm
- decision boundary
- maximum margin
- separating hyperplane
- svm classifier
- data analysis
- maximal margin
- training samples
- dimensionality reduction
- feature space
- input space
- linearly separable
- knn
- training set