Generalized Prediction Intervals for Arbitrary Distributed High-Dimensional Data
Steffen KühnPublished in: CoRR (2008)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- data sets
- prediction intervals
- subspace clustering
- data analysis
- manifold learning
- high dimensionality
- data points
- similarity search
- dimension reduction
- high dimensional datasets
- regression model
- high dimensional spaces
- clustering high dimensional data
- linear discriminant analysis
- travel time
- data distribution
- confidence level
- locally linear embedding
- high dimensional data sets
- discriminant analysis
- logistic regression
- linear regression model
- image sequences
- computer vision