A comparison study on nonlinear dimension reduction methods with kernel variations: Visualization, optimization and classification.
Katherine C. KempfertYishi WangCuixian ChenSamuel W. K. WongPublished in: Intell. Data Anal. (2020)
Keyphrases
- dimension reduction methods
- support vector
- feature extraction
- machine learning
- pattern recognition
- feature space
- support vector machine
- kernel machines
- classification accuracy
- image classification
- kernel function
- data analysis
- kernel based nonlinear
- high dimensional feature space
- kernel pca
- dimension reduction
- text classification
- feature set
- feature vectors
- reinforcement learning
- unsupervised learning
- svm classifier
- high dimensionality
- svm classification
- training set
- kernel principal component analysis
- decision trees