Mixture factor analysis with distance metric constraint for dimensionality reduction.
Jian ChenLeiyao LiaoWei ZhangLan DuPublished in: Pattern Recognit. (2022)
Keyphrases
- factor analysis
- distance metric
- dimensionality reduction
- euclidean distance
- metric learning
- data points
- independent component analysis
- component analysis
- principal component analysis
- discriminant analysis
- distance function
- high dimensional data
- pairwise constraints
- kernel learning
- cluster analysis
- linear discriminant analysis
- matrix factorization
- distance measure
- feature extraction
- high dimensional
- statistical tests
- feature space
- dimensionality reduction methods
- low dimensional
- pattern recognition
- mixture model
- unsupervised learning
- input space
- linear transformation
- manifold learning
- feature selection
- expectation maximization
- signal processing
- geodesic distance