Novel dimensionality reduction approach for unsupervised learning on small datasets.
Petr HurtíkVojtech MolekIrina PerfilievaPublished in: Pattern Recognit. (2020)
Keyphrases
- dimensionality reduction
- unsupervised learning
- dimensionality reduction methods
- principal component analysis
- low dimensional
- high dimensional
- high dimensional data
- data clustering
- pattern recognition
- feature extraction
- feature selection
- data representation
- feature space
- supervised learning
- random projections
- structure preserving
- high dimensionality
- data sets
- supervised dimensionality reduction
- linear discriminant analysis
- neural network
- semi supervised learning
- principal components
- nonlinear dimensionality reduction
- database
- text categorization
- discriminant analysis
- data points
- computer vision
- lower dimensional
- kernel pca
- data mining
- unsupervised feature selection