Campus Event Calendar
Event Entry
What and Who
Nonlinear Dimensionality Reduction: Locally Linear Embedding versus Isomap
Tobias Friedrich
Friedrich-Schiller-Universität Jena
AG1 Mittagsseminar (own work)
AG 1, AG 5
AG Audience
English
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Date, Time and Location
Wednesday, 22 December 2004
13:30
30 Minutes
46.1 - MPII
024
Saarbrücken
Abstract
Real data of natural and social sciences is often very high-dimensional. However, the underlying structure can in many cases be described by a small number of features. Recently two new non-linear methods for reducing the dimensionality, Locally Linear Embedding and Isomap, have been suggested and successfully applied. This talk presents both algorithms and compares them by means of several synthetic and real data sets.
Contact
Holger Bast
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Holger Bast, 12/16/2004 13:00
Holger Bast, 12/02/2004 11:42
Holger Bast, 12/01/2004 16:16 -- Created document.
Holger Bast, 12/02/2004 11:42
Holger Bast, 12/01/2004 16:16 -- Created document.