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:
“Before abstraction everything is one, but one like chaos; after abstraction everything is united again, but this union is a free binding of autonomous, self-determined beings. Out of a mob a society has developed, chaos has been transformed into a manifold world.”
—Novalis [Friedrich Von Hardenberg] (1772–1801)
“Gold has a price, but learning is priceless.”
—Chinese proverb.