From: Irene K. <ir...@cb...> - 2008-07-23 11:04:01
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\\Actually the color depends on whatever your .cls file contained before training. So areas with mixed colors just mean, that your classification does not agree with the ESOM's. To actually classify with an ESOM you have so select the areas that are surrounded by "mountains" on the map by hand and assign them Classes. Well, I want to avoid manual classification and I am not interested in that anyway. I just want to see where esom is placing the items of the dataset during training. Seeing into the mixed neurons will give me an idea of what percentage of each of my two classes is VERY similar to each other. If I won't include the class information during training, I will still have the same problem, as long as I cannot retrieve a list of all items sharing the same best-match. \\I'm not really sure what you are doing. It could be a bug or maybe you are just doing something wrong... But I think you are confusing Training (= the generation of the map) and classification (= what you have to do after the map is trained). Classification with ESOM is a manual process. I agree completely. I am just trying different things to see the output I get... Is it possible to view as colored points the items on the map, instead of the best-matches? |