Description Usage Arguments Examples
Culster interval data with okm algorithm.
1 2 |
x |
An 3D interval array. |
centers |
A number or interval, number of cluster for clustering or pre init centers. |
nstart |
A number, number of execution to find the best result. |
distance |
A string ('euclid': Euclidian distance, 'hausdorff': Hausdorff distance). |
algorithm |
A string ('std': Standard algorithm, 'matrix': Matrix algorithm). |
update |
A string ('mean': Mean center, 'sum': Sum center, 'join': Union center, 'meet': Intersect center). |
trace |
A boolean, tracing information on the progress of the algorithm is produced. |
iter.max |
the maximum number of iterations allowed. |
secure |
A boolean (secure interval or not : min <= max). |
1 2 | iokm(iaggregate(iris, col=5), 2)
iokm(iaggregate(iris, col=5), iaggregate(iris, col=5))
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