User-guided Dimensionality Reduction Ensembles.
Gladys M. H. HilasacaFernando Vieira PaulovichPublished in: IV (1) (2019)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensional data
- data representation
- principal component analysis
- pattern recognition
- feature extraction
- feature selection
- data points
- random projections
- low dimensional
- high dimensionality
- principal components
- random forests
- lower dimensional
- intrinsic dimensionality
- pattern recognition and machine learning
- linear discriminant analysis
- data representations
- input space
- feature space
- decision trees
- structure preserving
- dimension reduction
- ensemble methods
- metric learning
- nonlinear dimensionality reduction
- singular value decomposition
- neural network
- preprocessing step
- ensemble learning
- data sets
- active learning
- neural network ensemble