Nonlinear Dimensionality Reduction - Manifold Learning Algorithms

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:

    As one who knows many things, the humanist loves the world precisely because of its manifold nature and the opposing forces in it do not frighten him. Nothing is further from him than the desire to resolve such conflicts ... and this is precisely the mark of the humanist spirit: not to evaluate contrasts as hostility but to seek human unity, that superior unity, for all that appears irreconcilable.
    Stefan Zweig (18811942)

    Learning and teaching should not stand on opposite banks and just watch the river flow by; instead, they should embark together on a journey down the water. Through an active, reciprocal exchange, teaching can strengthen learning how to learn.
    Loris Malaguzzi (1920–1994)