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

[Irene K. <ir...@cb...>]

When I say mixed neurons (or best-matches), I mean neurons that are
best-matches to items that belong to both my pre-assigned classes. It must
be somehow possible to retrieve this information from the map, because it is
something that you can do by simply clicking on each best-match, one at a
time. I just want to do it in a high-throughput way. But maybe you are right
and I need to write a code for that...

-----Original Message-----
From: dat...@li...
[mailto:dat...@li...] On Behalf Of
Niko Efthymiou
Sent: Wednesday, July 23, 2008 1:33 PM
To: dat...@li...
Subject: Re: [Databionic-ESOM-User] data behind best-matches

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

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