Clustering and Singular Value Decomposition for Approximate Indexing in High Dimensional Spaces.
Alexander ThomasianVittorio CastelliChung-Sheng LiPublished in: CIKM (1998)
Keyphrases
- singular value decomposition
- singular values
- least squares
- dimensionality reduction
- clustering algorithm
- k means
- dimension reduction
- clustering method
- low rank
- error minimization
- latent semantic indexing
- principal component analysis
- information retrieval
- data points
- high dimensional data
- unsupervised learning
- latent semantic analysis
- low rank approximation
- data clustering
- low rank matrix
- neural network
- spectral clustering
- image sequences
- feature selection
- data matrix