Visualizing the Stability of 2D Point Sets from Dimensionality Reduction Techniques.
Christian ReinboldAlexander KumpfRüdiger WestermannPublished in: Comput. Graph. Forum (2020)
Keyphrases
- dimensionality reduction
- high dimensional
- principal component analysis
- high dimensional data
- high dimensionality
- low dimensional
- structure preserving
- feature extraction
- pattern recognition
- point sets
- intrinsic dimensionality
- stability analysis
- data points
- linear discriminant analysis
- asymptotic stability
- pattern recognition and machine learning
- lower dimensional
- preprocessing step
- manifold learning
- principal components
- feature space
- metric learning
- data representation
- linear projection
- dimensionality reduction methods
- interactive visualization
- data sets
- nearest neighbor
- interactive exploration
- graph embedding
- sparse representation
- multidimensional scaling
- kernel learning
- closed loop
- principal components analysis