Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds.
Elnaz BarshanAli GhodsiZohreh AzimifarMansoor Zolghadri JahromiPublished in: Pattern Recognit. (2011)
Keyphrases
- principal component analysis
- low dimensional
- feature space
- feature extraction
- dimension reduction
- support vector
- supervised classification
- feature selection
- model selection
- pattern recognition
- machine learning
- unsupervised learning
- supervised learning
- regression problems
- classification accuracy
- discriminant analysis
- image classification
- text classification
- classification method
- principal components
- dimensionality reduction
- data analysis
- independent component analysis
- learning algorithm
- high dimensional
- high dimensional data
- feature set
- face images
- support vector machine
- feature vectors
- linear regression
- support vector regression
- lower dimensional
- face recognition
- regression method
- numeric values
- supervised feature selection