File:SOMsPCA.PNG
Summary
One-dimensional SOM versus PCA for data approximation. SOM is a red broken line with squares, 20 nodes. The first principal component is presented by a blue line Data points are the small grey circles. For PCA, the Fraction of variance unexplained in this example is 23.23%, for SOM it is 6.86%. Prepared with the Java applet, E.M. Mirkes, Principal Component Analysis and Self-Organizing Maps: applet. University of Leicester, 2011 <a rel="nofollow" class="external free" href="http://www.math.le.ac.uk/people/ag153/homepage/PCA_SOM/PCA_SOM.html">http://www.math.le.ac.uk/people/ag153/homepage/PCA_SOM/PCA_SOM.html</a> This applet is published under cc Attribution 3.0 unported license.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 03:35, 16 January 2017 | | 607 × 400 (26 KB) | 127.0.0.1 (talk) | One-dimensional SOM versus PCA for data approximation. SOM is a red broken line with squares, 20 nodes. The first principal component is presented by a blue line Data points are the small grey circles. For PCA, the Fraction of variance unexplained in this example is 23.23%, for SOM it is 6.86%. Prepared with the Java applet, E.M. Mirkes, Principal Component Analysis and Self-Organizing Maps: applet. University of Leicester, 2011 <a rel="nofollow" class="external free" href="http://www.math.le.ac.uk/people/ag153/homepage/PCA_SOM/PCA_SOM.html">http://www.math.le.ac.uk/people/ag153/homepage/PCA_SOM/PCA_SOM.html</a> This applet is published under cc Attribution 3.0 unported license. |
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