Efficient Indexing of High-Dimensional Data Through Dimensionality Reduction.
Cheng Hian GohAgnes LimBeng Chin OoiKian-Lee TanPublished in: Data Knowl. Eng. (2000)
Keyphrases
- high dimensional data
- efficient indexing
- dimensionality reduction
- similarity search
- high dimensionality
- content based retrieval
- high dimensional
- low dimensional
- principal component analysis
- pattern recognition
- feature extraction
- data points
- dimension reduction
- linear discriminant analysis
- manifold learning
- input space
- multimedia databases
- subspace clustering
- feature space
- lower dimensional
- feature selection
- nearest neighbor
- high dimensional spaces
- nonlinear dimensionality reduction
- locally linear embedding
- dimensionality reduction methods
- subspace learning
- dimensional data
- high dimensional datasets
- database
- random projections
- sparse representation
- digital libraries
- small sample size
- clustering high dimensional data
- suffix tree
- data sets