[Databionic-ESOM-User] iris data set

[davide c. <daw...@gm...>]

Hi again,I was trying to better understand how ESOM tools work and perform.
I tried with a well-known data set: Iris classification. I used the one
provided in Weka, converted in iris.lrn+iris.cls.
I tried a standard esom training run, with a 64x64 map, 30 epochs, 31
starting radius and default values for all the rest...
I was pretty surprised to see the results. I have a strong evidence that
class 1 (iris setosa) is a separated entity (it is surrounded by a circular
"mountain") but... Actually the remaining iris classes seems to be in the
same group, the lay in the same "plane" or "valley". Selecting datas from
class 2 or class 3 makes them visually separated but, I repeat, in the same
plane.


I've been trying to read the publications to better understand how to use
ESOM, but it would be much more helpful if someone posts on this mailing
lists :-)

Thanks

d