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Culster interval data with kmeans algorithm.
ikmeans(x, centers, nstart = 10, distance = "euclid", trace = FALSE, iter.max = 20)
An 3D interval array.
A number or interval, number of cluster for clustering or pre init centers.
A number, number of execution to find the best result.
A string ('euclid': Euclidian distance, 'hausdorff': Hausdorff distance).
A boolean, tracing information on the progress of the algorithm is produced.
the maximum number of iterations allowed.
# NOT RUN { ikmeans(iaggregate(iris, col=5), 2) ikmeans(iaggregate(iris, col=5), iaggregate(iris, col=5)) # }
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