A partitioning method for high dimensional data.
Seunghoon LeeSung-Woo BangBo-Keong KimJaekwang KimJee-Hyong LeePublished in: ICUIMC (2010)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- high dimensions
- data points
- subspace clustering
- similarity search
- data sets
- high dimensionality
- data analysis
- manifold learning
- dimension reduction
- clustering high dimensional data
- original data
- input space
- data distribution
- high dimensional spaces
- lower dimensional
- complex data
- nonlinear dimensionality reduction
- sparse representation
- high dimensional feature spaces
- dimensional data
- locally linear embedding
- linear discriminant analysis
- subspace learning
- database
- high dimensional datasets
- learning algorithm
- text mining
- small sample size
- high dimensional data sets
- text data
- intrinsic dimension
- variable selection