Dear Uwe
Just wanted to say thank you so much for this as whilst waiting for a reply
from r-help I had been wrting a piece of ugly code as below to do the job
and yours looks MUCH smarter and I especially like the use of '-apply()'
bit as there is no 'min.col()' function.
p.s. my data has 144 val
So you just want to compare the distances from each point of your new
data to each of the Centres and assign the corresponding number of the
centre as in:
clust <- apply(NewData, 1, function(x) which.min(colSums(x - tCentre)^2
but since the apply loop is rather long here for lots of new d
Dear R users
I have the matrix of the centres of some clusters, e.g. 20 clusters each
with 100 dimentions, so this matrix contains 20 rows * 100 columns numeric
values.
I have collected new data (each with 100 numeric values) and would like to
keep the above 20 centres fixed/'unmoved' whilst jus
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