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- Semidefinite embedding
- 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
- Dynamical system
- Self-organizing map
- Generative topographic map
- Auto-encoder
- Neural network
- Boltzmann machine
- Multidimensional scaling
- Sammon's projection
- Radial basis function network
- Gaussian process
- Distance (graph theory)
- Kernel principal component analysis
- Kernel trick
- Swiss roll
- Isomap
- Floyd–Warshall algorithm
- Euclidean distance
- Reproducing kernel Hilbert space
- Hierarchical clustering
- Distance correlation
- Nonlinear dimensionality reduction
- Hilbert space
- Orthogonality
- Dot product
- Basis (linear algebra)
- Linear map
- Metric (mathematics)
- Norm (mathematics)
- Machine learning
- Topology
- Data mining
- Matrix (mathematics)
- Vector space
- Inner product space
- Euclidean vector
- Euclidean space
- If and only if
- Field (mathematics)
- Linear algebra
- Linear combination
- Dimension
- Linear independence
- Scalar (mathematics)
- Cartesian coordinate system
- Metric space