File:SOMsPCA.PNG
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Summary
| Description |
English: 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 http://www.math.le.ac.uk/people/ag153/homepage/PCA_SOM/PCA_SOM.html
This applet is published under cc Attribution 3.0 unported license. |
| Date | |
| Source | Own work |
| Author | Agor153 |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:26, 10 May 2012 | | 607 × 400 (26 KB) | Agor153 | {{Information |Description ={{en|1=New version with more noise}} |Source =Own work |Author =Own work |Date =2012-05-10 |Permission = |other_versions = }} |
| 10:31, 10 May 2012 |  | 607 × 402 (32 KB) | Agor153 |
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