HD-Eye: Visual Mining of High-Dimensional Data.
Alexander HinneburgDaniel A. KeimMarkus WawryniukPublished in: IEEE Computer Graphics and Applications (1999)
Keyphrases
- high dimensional data
- visual data
- subspace clustering
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensions
- high dimensional
- high dimensionality
- subspace clusters
- original data
- data analysis
- data sets
- data points
- dimension reduction
- similarity search
- nonlinear dimensionality reduction
- complex data
- manifold learning
- data distribution
- visual features
- input space
- lower dimensional
- high dimensional spaces
- high dimensional datasets
- clustering high dimensional data
- linear discriminant analysis
- sparse representation
- text mining
- pattern recognition
- visual information
- input data
- eye movements
- knowledge discovery
- training data
- data mining
- text data
- variable selection
- subspace learning
- dimensional data
- text classification
- image data