Dimension reduction for high-dimensional small counts with KL divergence.
Yurong LingJing-Hao XuePublished in: UAI (2022)
Keyphrases
- dimension reduction
- high dimensional
- kl divergence
- low dimensional
- high dimensional data
- high dimensionality
- dimensionality reduction
- mahalanobis distance
- information theoretic
- feature extraction
- principal component analysis
- kullback leibler divergence
- singular value decomposition
- feature space
- feature selection
- data points
- similarity search
- preprocessing
- gaussian mixture
- gaussian distribution
- probability density
- unsupervised learning
- linear discriminant analysis
- least squares
- pattern recognition
- parameter space
- posterior distribution
- nearest neighbor
- probability distribution