User:Petecl/Books/tmp2


 * 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