Fast High-Dimensional Data Search in Incomplete Databases.
Beng Chin OoiCheng Hian GohKian-Lee TanPublished in: VLDB (1998)
Keyphrases
- high dimensional data
- databases
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- high dimensionality
- missing values
- subspace clustering
- high dimensions
- data analysis
- data points
- data sets
- dimension reduction
- original data
- high dimensional spaces
- similarity search
- manifold learning
- input space
- indexing techniques
- data distribution
- database
- dimensional data
- linear discriminant analysis
- clustering high dimensional data
- high dimensional data sets
- small sample size
- nonlinear dimensionality reduction
- high dimensional datasets
- nearest neighbor search
- lower dimensional
- subspace learning
- knowledge discovery
- text data
- input data
- variable weighting