A number or matrix, number of cluster for clustering or pre init centers.

centers

the maximum number of iterations allowed.

iter.max

A number, number of execution to find the best result.

nstart

A boolean, tracing information on the progress of the algorithm is produced.

trace

A string ('euclid': Euclidian distance, 'manhattan': Manhattan distance).

method

Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms:
OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ;
NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ;
Fuzzy Cmeans from Bezdek, J. C. (1981) <doi:10.1007/978-1-4757-0450-1> ;
Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.

okm: OKM clustering.

Description

Usage

Arguments

Examples