Recursive Feature Elimination Based on Linear Discriminant Analysis for Molecular Selection and Classification of Diseases.
Edmundo Bonilla HuertaRoberto Morales-CaporalMarco Antonio ArjonaJosé Crispín Hernández HernándezPublished in: ICIC (2) (2013)
Keyphrases
- linear discriminant analysis
- support vector machine svm
- support vector
- feature extraction
- dimension reduction
- discriminant analysis
- feature space
- fisher criterion
- principal component analysis
- dimensionality reduction
- recursive feature elimination
- support vector machine
- terms of classification accuracy
- face recognition
- pattern recognition
- feature selection
- classification accuracy
- text classification
- feature vectors
- cancer diagnosis
- classification models
- multi class
- feature ranking
- nearest neighbor
- machine learning methods
- high dimensionality
- low dimensional
- benchmark datasets
- microarray datasets
- supervised learning
- k nearest neighbor
- high dimensional
- machine learning