Dimensionality Reduction for Data Visualization and Linear Classification, and the Trade-off between Robustness and Classification Accuracy.
Martin BeckerJens LippelThomas ZielkePublished in: ICPR (2020)
Keyphrases
- data visualization
- linear classification
- dimensionality reduction
- classification accuracy
- linear classifiers
- feature selection
- feature space
- data analysis
- document classification
- nonlinear dimensionality reduction
- knowledge discovery
- feature extraction
- visual data mining
- low dimensional
- principal component analysis
- data mining
- principal components
- high dimensional data
- maximum margin
- high dimensional
- pattern recognition
- parallel coordinates
- input space
- data representation
- training set
- feature set
- text classification
- support vector machine
- big data
- support vector
- databases
- text mining
- data points
- information retrieval