Two derivations of Principal Component Analysis on datasets of distributions.
Vlad NiculaePublished in: CoRR (2023)
Keyphrases
- principal component analysis
- independent component analysis
- covariance matrix
- dimensionality reduction
- feature space
- linear discriminant analysis
- training dataset
- inference rules
- principal components
- dimension reduction
- face images
- database
- benchmark datasets
- uci machine learning repository
- experimental results on real world
- discriminant analysis
- synthetic datasets
- synthetic and real datasets
- raw data
- low dimensional
- signal processing
- probabilistic model
- objective function
- computer vision
- learning algorithm
- genetic algorithm
- data mining
- real world
- neural network