Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers.
R. Bharat RaoScott RickardFrans CoetzeePublished in: KDD (1998)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- high dimensions
- high dimensionality
- dimension reduction
- subspace clustering
- data points
- clustering high dimensional data
- data sets
- similarity search
- data analysis
- original data
- input space
- complex data
- high dimensional datasets
- high dimensional spaces
- manifold learning
- text data
- low rank
- sparse representation
- principal component analysis
- subspace learning
- dimensional data
- locally linear embedding
- nonlinear dimensionality reduction
- small sample size
- lower dimensional
- real world