Visualizing High-Dimensional Structures by Dimension Ordering and Filtering using Subspace Analysis.
Bilkis J. FerdosiJos B. T. M. RoerdinkPublished in: Comput. Graph. Forum (2011)
Keyphrases
- subspace analysis
- high dimensional
- low dimensional
- subspace learning
- manifold learning
- dimensionality reduction
- data points
- dimension reduction
- nearest neighbor
- principal component analysis
- feature space
- mixture model
- input space
- higher dimensional
- decision trees
- high dimensional data
- bayesian networks
- similarity measure
- feature extraction