Try reading the help page (and crediting the authors of package class).
Description:
k-nearest neighbour classification for test set from training set.
For each row of the test set, the 'k' nearest (in Euclidean
distance) training set vectors are found, and the classification
is decided by majority vote, with ties broken at random. If there
^^^^^^^^^^^^^^^^^^^^^^^^^^
are ties for the 'k'th nearest vector, all candidates are included
in the vote.
So the result is random (as documente), not 'unstable'
What you are trying is nonsensical: you have all the points of different
classes, so the 4 nearest must be of 4 different classes, and furthermore
there are ties on distances.
On Mon, 11 Aug 2008, rami batal wrote:
Hello all,
am a newby in R,
am trying the knn function, and am doing just a stupid test :
knn(c(1,2,3,4,5,6), c(3), k=4 ,prob=TRUE,factor(c(1:6)))
the result is unstable !! i have each time different result :
[1] 5
attr(,"prob")
[1] 0.1666667
Levels: 1 2 3 4 5 6
[1] 4
attr(,"prob")
[1] 0.1666667
Levels: 1 2 3 4 5 6
[1] 1
attr(,"prob")
[1] 0.1666667
Levels: 1 2 3 4 5 6
ect...
I would like to know why ?
the thing that am searching for is to have the 4 NN and sort them according
to there
distance to the test point.
Tank you
--
Rami
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
