A statistics-based dimension reduction of the space of path line attributes for interactive visual flow analysis.
Armin PobitzerAlan LezKresimir MatkovicHelwig HauserPublished in: PacificVis (2012)
Keyphrases
- dimension reduction
- flow analysis
- low dimensional
- interactive visual
- feature extraction
- high dimensional
- high dimensional data
- principal component analysis
- interactive visualization
- information flow
- manifold learning
- feature space
- linear discriminant analysis
- visual exploration
- singular value decomposition
- dimensionality reduction
- feature selection
- unsupervised learning
- cluster analysis
- high dimensionality
- data visualization
- neural network
- data points
- data analysis
- data mining
- database
- knowledge discovery
- training set
- preprocessing
- training data
- social networks