Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification.
Raunak JoshiAbhishek GuptaHimanshu SoniRonald Melwin LabanPublished in: CoRR (2023)
Keyphrases
- linear discriminant analysis
- small sample size
- discriminant features
- support vector machine svm
- discriminant analysis
- feature extraction
- dimension reduction
- support vector
- feature space
- fisher criterion
- class discrimination
- class separability
- discriminative information
- face recognition
- principal component analysis
- subspace analysis
- classification accuracy
- dimensionality reduction
- high dimensionality
- subspace methods
- feature vectors
- high dimensional data
- locality preserving projections
- principal components analysis
- null space
- image classification
- kernel discriminant analysis
- feature selection
- training samples
- pattern recognition
- machine learning
- sample size
- support vector machine
- decision trees
- svm classifier
- supervised dimensionality reduction
- pca lda
- generalized discriminant analysis