SOM_of_Fishers_Iris_flower_data_set.JPG (614 × 573 pixels, file size: 36 KB, MIME type: image/jpeg)
Summary edit
| Description |
SOM of Fishers Iris flower data set: Neurons (40 x 40 square grid) are trained for 250 iterations with a learning rate of 0.1 using the normalized Iris flower data set which has four dimensional data vectors. A color image formed by first three dimensions of the four dimensional SOM weight vectors (top left), pseudo-color image of the magnitude of the SOM weight vectors (top right), U-Matrix (Euclidean distance between weight vectors of neighboring cells) of the SOM (bottom left) and overlay of data points (red: I. setosa, green: I. versicolor and blue: I. verginica) on the U-Matrix based on the minimum Euclidean distance between data vectors and SOM weight vectors (bottom right). |
|---|---|
| Source |
I (RaoInWiki) created this work entirely by myself. |
| Date |
02-02-2010 |
| Author |
RaoInWiki |
| Permission (Reusing this file) |
See below. |
| Other versions | NIL |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
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| current | 12:15, 2 February 2010 | | 614 × 573 (36 KB) | RaoInWiki (talk | contribs) | {{Information |Description = SOM of Fishers Iris flower data set: Neurons (40 x 40 square grid) are trained for 250 iterations with a learning rate of 0.1 using the normalized Iris flower data set which has four dimensional data vectors. A color image |
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