Re: [Databionic-ESOM-User] data behind best-matches

[Niko E. <ne...@ne...>]

On  0, Irene Kouskoumvekaki <ir...@cb...> wrote:

> 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. 

Well the neurons don't belong to class. So there are no mixed neurons.
That said, you want the nearest data point on the ESOM for each data
point. Am I correct?

Without writing some Code you are probably out of luck. You could
however do a flood-fill on the weight matrix starting at each Data point
best match and stopping as soon as you find another best match. Or
something like that... 

That said, I am not sure that ESOM, is the right tool for your job. You
will probably have very similar results if you just calculate all
euclidean distances for each data point and take the lowest. 

Fabian, what do you think?

Greets Niko