fuzzy_icmeans: Interval fuzzy cmeans clustering.

In COveR: Clustering with Overlaps

Description

Culster interval data with fuzzy cmeans algorithm.

Usage

fuzzy_icmeans(x, centers, m = 2, nstart = 2, distance = "euclid",
  trace = FALSE, iter.max = 40)

Arguments

x	An 3D interval array.
centers	A number or interval, number of cluster for clustering or pre init centers.
m	A number greater than 1 giving the degree of fuzzification.
nstart	A number, number of execution to find the best result.
distance	A string ('euclid': Euclidian distance, 'hausdorff': Hausdorff distance).
trace	A boolean, tracing information on the progress of the algorithm is produced.
iter.max	the maximum number of iterations allowed.

Examples

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

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