Improving the efficiency of multidimensional scaling in the analysis of high-dimensional data using singular value decomposition.
Christophe BécavinNicolas TchitchekColette Mintsa-EyaAnnick LesneArndt BeneckePublished in: Bioinform. (2011)
Keyphrases
- high dimensional data
- singular value decomposition
- dimensionality reduction
- low dimensional
- multidimensional scaling
- dimension reduction
- low rank
- high dimensional
- data analysis
- principal component analysis
- singular values
- data sets
- high dimensionality
- nearest neighbor
- manifold learning
- least squares
- vector space
- feature extraction
- linear discriminant analysis
- subspace learning
- input space
- similarity search
- original data
- pattern recognition
- latent semantic indexing
- training data
- information retrieval
- machine learning