Dear All,Say I've got a 2 by 3 data matrix with numerical entries A, B, C,
D. The 3rd column labels the real cluster of these values (A and B belong to
cluster 1 and C, D belong to cluster 2.) Now if I perform a clustering
algorithm such as kmeans on those numerical part of the matrix with
pre-specified k=2), which gives, for example, A,C belongs to cluster 3 and
B, D belongs to cluster 4, what R codes do I use to check the accuracy of
such output based on knowledge of the real clusters in the data matrix? The
whole point of this is to compare the performance of various clustering
algorithms with the "Real" information.

Yours sincerely,
Yang

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