A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification.
Katherine C. KempfertYishi WangCuixian ChenSamuel W. K. WongPublished in: CoRR (2019)
Keyphrases
- dimension reduction methods
- support vector
- feature space
- dimension reduction
- pattern recognition
- feature extraction
- classification accuracy
- kernel machines
- decision trees
- high dimensional feature space
- principal component analysis
- support vector machine
- kernel principal component analysis
- support vector machine svm
- kernel function
- image classification
- nearest neighbor classifier
- kernel pca
- machine learning
- svm classifier
- feature set
- supervised learning
- least squares
- input space
- model selection
- text classification
- svm classification
- data sets