Visualization and Knowledge Discovery for High Dimensional Data.
Alfred InselbergPublished in: UIDIS (2001)
Keyphrases
- high dimensional data
- knowledge discovery
- data analysis
- data visualization
- high dimensionality
- dimensionality reduction
- high dimensions
- data sets
- low dimensional
- nearest neighbor
- subspace clustering
- complex data
- similarity search
- original data
- input space
- high dimensional
- data mining
- dimension reduction
- data distribution
- text mining
- data mining techniques
- high dimensional datasets
- manifold learning
- high dimensional spaces
- linear discriminant analysis
- outlier detection
- lower dimensional
- data points
- association rules
- machine learning
- sparse representation
- clustering high dimensional data
- input data
- subspace learning
- feature space
- sample size
- decision trees
- small sample size
- databases