iokm: Interval okm clustering.

In COveR: Clustering with Overlaps

Description

Culster interval data with okm algorithm.

Usage

iokm(x, centers, nstart = 10, distance = "euclid", algorithm = "std",
  update = "mean", trace = FALSE, iter.max = 20, secure = FALSE)

Arguments

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).

Examples

iokm(iaggregate(iris, col=5), 2)
iokm(iaggregate(iris, col=5), iaggregate(iris, col=5))

COveR documentation built on Dec. 6, 2017, 5:06 p.m.