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- Semidefinite embedding
- Sammon's projection
- N-dimensional space
- Manifold
- Dimension reduction
- Distance
- Independent component analysis
- Principal component analysis
- Karhunen–Loève theorem
- Cluster analysis
- Eigenvalue, eigenvector and eigenspace
- Singular value decomposition
- Factor analysis
- Curse of dimensionality
- Hamming space