Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations.
Christin SeifertVedran SabolWolfgang KienreichPublished in: EuroVAST@EuroVis (2010)
Keyphrases
- dimensionality reduction
- low dimensional
- feature extraction
- high dimensionality
- high dimensional data
- dimensionality reduction methods
- high dimensional
- principal component analysis
- random projections
- pattern recognition
- linear discriminant analysis
- singular value decomposition
- feature selection
- data representation
- data points
- pattern recognition and machine learning
- structure preserving
- feature space
- manifold learning
- input space
- intrinsic dimensionality
- principal components
- decision trees
- biological systems
- semantic description
- linear dimensionality reduction
- preprocessing step
- website
- computer vision
- nonlinear dimensionality reduction
- graph embedding
- nearest neighbor