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:
“They had met, and included in their meeting the thrust of the manifold grass stems, the cry of the peewit, the wheel of the stars.”
—D.H. (David Herbert)
“The child does not begin to fall until she becomes seriously interested in walking, until she actually begins learning. Falling is thus more an indication of learning than a sign of failure.”
—Polly Berrien Berends (20th century)