File:SVD Graphic Example.png

Summary

Description
Deutsch: Veranschaulichung der Singulärwertzerlegung von miteinander korrelierten Messwerten, hier die Höhe H und die Breite W von Gesichtern. Die Vektoren U1 und U2 entsprechen den ersten beiden Spalten der Matrix U.
English: Shows the effect of SVD (singular value decomposition) on a not-so-random data set, for example the different height and width (H and W) of a human face. The two vectors U1 and U2 are the first two columns of the U matrix.
Français : Illustre les effets de la SVD (décomposition en valeurs singulières) sur un jeu de données pas-tellement-aléatoire, par exemple les différentes largeurs et longueurs (H et W) d'un visage humain. Les deux vecteurs, U1 and U2, sont les deux premières colonnes de la matrice U.
Date
Source Own work
Author Sharayanan (Sharayanan)
This math image could be re-created using vector graphics as an SVG file. This has several advantages; see Commons:Media for cleanup for more information. If an SVG form of this image is available, please upload it and afterwards replace this template with {{vector version available|new image name}}.
It is recommended to name the SVG file “SVD Graphic Example.svg”—then the template Vector version available (or Vva) does not need the new image name parameter.
Category:Math images that should use vector graphics#%20SVD%20Graphic%20Example.pngCategory:PNG that should use vector graphics

Licensing

I, the copyright holder of this work, hereby publish it under the following licenses:
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
Category:License migration redundant#SVD%20Graphic%20Example.pngCategory:GFDL#SVD%20Graphic%20Example.png
w:en:Creative Commons
attribution share alike		 This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
This licensing tag was added to this file as part of the GFDL licensing update.
Category:CC-BY-SA-3.0-migrated#SVD%20Graphic%20Example.png
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 2.5 Generic, 2.0 Generic and 1.0 Generic license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
Category:CC-BY-SA-2.5,2.0,1.0#SVD%20Graphic%20Example.png
You may select the license of your choice.
Category:Self-published work
Category:Linear algebra Category:Signal processing Category:Subfields of statistics Category:Vectors Category:Ellipses Category:Points (mathematics)
Category:CC-BY-SA-2.5,2.0,1.0 Category:CC-BY-SA-3.0-migrated Category:Ellipses Category:GFDL Category:License migration redundant Category:Linear algebra Category:Math images that should use vector graphics Category:PNG that should use vector graphics Category:Points (mathematics) Category:Self-published work Category:Signal processing Category:Subfields of statistics Category:Vectors