Weighted Missing Linear Discriminant Analysis: An Explainable Approach for Classification with Missing Data.
Tuan L. VoUyen DangThu NguyenPublished in: CoRR (2024)
Keyphrases
- missing data
- linear discriminant analysis
- support vector machine svm
- small sample size
- discriminant features
- feature extraction
- dimension reduction
- multiple imputation
- discriminant analysis
- missing values
- support vector
- feature space
- discriminative information
- class separability
- incomplete data
- fisher criterion
- face recognition
- principal component analysis
- dimensionality reduction
- low rank
- pattern recognition
- matrix factorization
- high dimensional data
- missing information
- support vector machine
- feature selection
- high dimensionality
- image classification
- feature vectors
- svm classifier
- null space
- machine learning algorithms
- machine learning
- sample size
- principle component analysis
- knn
- data points