Unsupervised and Supervised Principal Component Analysis: Tutorial.
Benyamin GhojoghMark CrowleyPublished in: CoRR (2019)
Keyphrases
- principal component analysis
- unsupervised learning
- semi supervised
- supervised learning
- discriminant projection
- unsupervised methods
- dimensionality reduction
- supervised classification
- supervised methods
- unsupervised feature selection
- supervised training
- word sense induction
- weakly supervised
- principal components
- dimension reduction
- discriminant analysis
- independent component analysis
- linear discriminant analysis
- dimensionality reduction methods
- face recognition
- learning algorithm
- covariance matrix
- low dimensional
- machine learning
- feature selection
- supervised and semi supervised
- completely unsupervised
- face images
- data driven
- decision trees
- random projections
- singular value decomposition
- lower dimensional
- input image
- pairwise
- feature space
- objective function
- neural classifier
- semi supervised learning