DocumentCode
3703537
Title
Fast and user-friendly non-linear principal manifold learning by method of elastic maps
Author
Alexander N. Gorban;Andrei Zinovyev
Author_Institution
Department of Mathematics, University of Leicester, University Road, Leicester LE1 7RH, UK
fYear
2015
Firstpage
1
Lastpage
9
Abstract
Method of elastic maps allows fast learning of nonlinear principal manifolds for large datasets. We present user-friendly implementation of the method in ViDaExpert software. Equipped with several dialogs for configuring data point representations (size, shape, color) and fast 3D viewer, ViDaExpert is a handy tool allowing to construct an interactive 3D-scene representing a table of data in multidimensional space and perform its quick and insightfull statistical analysis, from basic to advanced methods. We list several recent application examples of manifold learning by method of elastic maps in various fields of life sciences.
Keywords
"Manifolds","Principal component analysis","Data visualization","Software","Graphical user interfaces","Approximation methods"
Publisher
ieee
Conference_Titel
Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
Print_ISBN
978-1-4673-8272-4
Type
conf
DOI
10.1109/DSAA.2015.7344818
Filename
7344818
Link To Document