• 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