Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning
نویسندگان
چکیده
The ever-growing amount of data stored in digital databases raises the question of how to organize and extract useful knowledge. This paper outlines some current developments in the domains of dimensionality reduction, manifold learning, and topological learning. Several aspects are dealt with, ranging from novel algorithmic approaches to their realworld applications. The issue of quality assessment is also considered and progress in quantitive as well as visual crieria is reported.
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تاریخ انتشار 2010