Dear useRs,
I have a matrix which contains population data at 12 points of every station.
In total there are 179 stations. So, its a matrix of 179 columns and 12 rows.
Through a self inventory distance calculation method, a distance matrix was
prepared for this data. Now i want to do k-nearest neighborhood classification
by considering all the nearest neighbors of each station. i tried the following
command to find neighbors of station 1, but first, it didn't work and second i
would like to use my own distance matrix for the classification.
>knnx.dist(X[-1,], X[1, , drop=FALSE], k=178)
>knnx.index(X[-1,], X[1, , drop=FALSE], k=178)
Thankyou very indeed in advance.Elisa
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