Performance of classification based on PCA, linear SVM, and Multi-kernel SVM.
Saruar AlamMoonsoo KangJae-Young PyunGoo-Rak KwonPublished in: ICUFN (2016)
Keyphrases
- linear svm
- multi kernel
- support vector
- linear support vector machines
- support vector machine svm
- support vector machine
- svm classifier
- multiple kernel learning
- feature selection
- logistic regression
- feature space
- support vectors
- hyperplane
- feature extraction
- text categorization
- feature vectors
- pattern recognition
- principal component analysis
- dimensionality reduction
- machine learning
- principal components
- text classification
- dimension reduction
- classification accuracy
- linear discriminant analysis
- training data
- graph embedding
- generalization ability
- linear model
- training process
- data sets
- training set
- kernel pca
- knn
- training samples
- multi class
- least squares
- model selection