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:
“There must be no cessation
Of motion, or of the noise of motion,
The renewal of noise
And manifold continuation....”
—Wallace Stevens (1879–1955)
“Paul, thou art beside thyself; much learning doth make thee mad.”
—Bible: New Testament Acts, 26:24.
Said by Festus, the Roman Procurator.