Is there any answer?
Hi all,
I have a df and I want to use supervised Self Organizing Map to do
classification. I should use Kohonen library and xyf function from it. As you
know the xyf function looks like this and I have problem defining my Y:
xyf(data,Y,grid=somgrid(),rlen=100,alpha=c(0.05,0.01))
I want to do classification based on a column which shows the speed that a
protocols is run, and this column is the following:
$speed :num 4 4 3 3 3 1 1 1 2 1 4 4 3
numbers from 1 to 4 show the speed from very fast to very slow protocols. so
the property I want to be modeled is df$speed, but I don't know how should I
bring it in xyf function. Does anyone know how to do that? I also added my
train set ans test set:
dt=sort(sample(nrow(df),nrow(df)*.7))
train=df[dt,]
Xtraining=scale(trian)
Xtest=scale(-trian)
center=attr(Xtrianing,"scaled:center")
scale=attr(Xtraining,"scaled:scale")
xyf(Xtraining,........,grid=somgrid(10,10,"hexagonal"))
Thanks for any Help,
Elahe
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