Culster interval data with neokm algorithm.
ineokm(x, centers, alpha = 0.3, beta = 0.05, nstart = 10, trace = FALSE,
iter.max = 20)
An 3D interval array.
A number or interval, 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 {
ineokm(iaggregate(iris, col=5), 3)
ineokm(iaggregate(iris, col=5), iaggregate(iris, col=5), 1, 2)
# }
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