PCA criterion for SVM (MLP) classifier for flavivirus biomarker from salivary SERS spectra at febrile stage.
A. R. M. RadzolKhuan Y. LeeWahidah MansorI. S. OmarPublished in: EMBC (2016)
Keyphrases
- principal component analysis
- neural classifier
- svm classifier
- support vector machine
- support vector
- feature selection
- feature space
- highest accuracy
- multi layer perceptron
- support vector machine svm
- selection criterion
- neyman pearson
- mlp neural networks
- dimension reduction methods
- feature reduction
- learning stage
- training data
- feature extraction
- classification algorithm
- svm classification
- training set
- text classifiers
- principal components analysis
- dimensionality reduction
- classification method
- kernel function
- multilayer perceptron
- high classification accuracy
- decision boundary
- hyperplane
- decision function
- multi class svm
- multi class
- classification accuracy
- gene expression data
- feature vectors
- ensemble classifier
- linear discriminant analysis
- knn
- face recognition
- train a support vector machine
- principal components
- dimension reduction
- kernel pca
- training procedure
- input features
- machine learning
- support vectors
- artificial neural networks
- fold cross validation
- generalization ability
- fuzzy support vector machine
- covariance matrix
- k nearest neighbor
- fuzzy artmap
- neural network
- high dimensional
- face images
- training samples
- text categorization
- standard svm
- decision forest
- radial basis function
- activation function
- face detection
- feature set
- data points
- kernel methods
- multi class classification