A Short Review on Minimum Description Length: An Application to Dimension Reduction in PCA.
Vittoria BruniMaria Lucia CardinaliDomenico VitulanoPublished in: Entropy (2022)
Keyphrases
- dimension reduction
- minimum description length
- principal component analysis
- principle component analysis
- mdl principle
- information theoretic
- dimension reduction methods
- feature extraction
- linear discriminant analysis
- high dimensional
- dimensionality reduction
- singular value decomposition
- low dimensional
- random projections
- high dimensional problems
- face recognition
- feature space
- partial least squares
- principal components
- feature selection
- manifold learning
- unsupervised learning
- high dimensional data
- high dimensionality
- independent component analysis
- principal components analysis
- feature subspace
- discriminant analysis
- preprocessing
- face images
- covariance matrix
- information theory
- mutual information
- pattern recognition
- data mining
- clustering method
- machine learning