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Culster data with neokm algorithm.
neokm(x, centers, alpha = 0.3, beta = 0.05, nstart = 10, trace = FALSE, iter.max = 20)
An data matrix.
A number, number of cluster for clustering or pre init centers.
A number (overlap).
A number (non-exhaustiveness).
A number, number of execution to find the best result.
A boolean, tracing information on the progress of the algorithm is produced.
the maximum number of iterations allowed.
# NOT RUN { neokm(iris[,-5], 3) neokm(iris[,-5], iris[,-5], 1, 2) # }
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