CSVD: Clustering and Singular Value Decomposition for Approximate Similarity Search in High-Dimensional Spaces.
Vittorio CastelliAlexander ThomasianChung-Sheng LiPublished in: IEEE Trans. Knowl. Data Eng. (2003)
Keyphrases
- singular value decomposition
- approximate similarity search
- singular values
- latent semantic indexing
- k means
- least squares
- low rank
- clustering algorithm
- dimensionality reduction
- clustering method
- principal component analysis
- similarity search
- data clustering
- index structure
- high dimensional data
- document clustering
- spectral clustering
- locality sensitive hashing
- data matrix
- data points