Forecasting high-dimensional data.
Deepak AgarwalDatong ChenLong-ji LinJayavel ShanmugasundaramErik VeePublished in: SIGMOD Conference (2010)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensionality
- high dimensional
- data sets
- data analysis
- subspace clustering
- high dimensions
- original data
- dimension reduction
- data points
- high dimensional spaces
- dimensional data
- complex data
- nonlinear dimensionality reduction
- lower dimensional
- clustering high dimensional data
- text data
- data distribution
- input space
- manifold learning
- linear discriminant analysis
- sparse representation
- similarity search
- small sample size
- input data
- data structure
- subspace learning
- detection algorithm
- high dimensional data sets