Implementing KDB-Trees to Support High-Dimensional Data.
Ratko OrlandicByunggu YuPublished in: IDEAS (2001)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- low dimensional
- subspace clustering
- high dimensions
- high dimensionality
- nearest neighbor
- data sets
- data analysis
- clustering high dimensional data
- data points
- original data
- dimension reduction
- high dimensional spaces
- nonlinear dimensionality reduction
- sparse representation
- data distribution
- similarity search
- input space
- high dimensional datasets
- decision trees
- dimensional data
- input data
- machine learning
- subspace learning
- variable selection
- manifold learning
- text data
- lower dimensional
- clustering method
- neural network