ACromegaly Pre-Diagnosis Based On Principal Component And Linear Discriminant Analysis.
Beste GencturkVasif V. NabiyevArda UstubiogluPublished in: SIU (2013)
Keyphrases
- principal components
- linear discriminant analysis
- principal component analysis
- dimensionality reduction
- null space
- discriminant analysis
- dimension reduction
- face recognition
- principal components analysis
- discriminant features
- independent component analysis
- low dimensional
- fisher criterion
- high dimensional data
- feature extraction
- small sample size
- covariance matrix
- feature space
- lower dimensional
- face images
- pattern recognition
- discriminative information
- hyperplane
- high dimensionality
- linear discriminant
- input space
- independent components
- feature selection
- unsupervised learning
- data points
- high dimensional
- manifold learning
- support vector machine svm
- scatter matrices
- support vector
- machine learning
- principal component regression