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Culster interval data with fuzzy cmeans algorithm.
fuzzy_icmeans(x, centers, m = 2, nstart = 2, distance = "euclid", trace = FALSE, iter.max = 40)
An 3D interval array.
A number or interval, number of cluster for clustering or pre init centers.
A number greater than 1 giving the degree of fuzzification.
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 { fuzzy_icmeans(iaggregate(iris, col=5), 2) fuzzy_icmeans(iaggregate(iris, col=5), iaggregate(iris, col=5)) # }
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