Unsupervised nonlinear feature selection algorithm via kernel function.
Jiaye LiShichao ZhangLeyuan ZhangCong LeiJilian ZhangPublished in: Neural Comput. Appl. (2020)
Keyphrases
- kernel function
- feature selection algorithms
- high dimensional feature space
- feature set
- feature selection
- kernel pca
- support vector
- feature space
- kernel based nonlinear
- kernel principal component analysis
- kernel methods
- support vector machine
- input space
- unsupervised learning
- kernel matrix
- support vector regression
- feature subset
- data sets
- classification accuracy
- kernel learning
- gaussian kernels
- svm classifier
- learning models
- semi supervised
- selection criterion
- high dimensional
- selection algorithm
- feature extraction
- machine learning
- feature vectors
- multiple kernel learning
- training data
- computer vision
- genetic algorithm