Manifold Learning Algorithms
Some of the more prominent manifold learning algorithms are listed below (in approximately chronological order). An algorithm may learn an internal model of the data, which can be used to map points unavailable at training time into the embedding in a process often called out-of-sample extension.
Read more about this topic: Nonlinear Dimensionality Reduction
Famous quotes containing the words manifold and/or learning:
“A large city cannot be experientially known; its life is too manifold for any individual to be able to participate in it.”
—Aldous Huxley (1894–1963)
“Their holders have always seemed to me like a woman who should undertake at a state fair to run a sewing machine, under pretense of advertising it, while she had never spent an hour in learning its use.”
—Jane Grey Swisshelm (1815–1884)