fcm

Purpose

Fuzzy c-means clustering.

Synopsis

Description

[center, U, obj_fcn] = fcm(data, cluster_n) applies the fuzzy c-means clustering method to a given data set.

The input arguments of this function are:

The output arguments of this function are:

fcm(data,cluster_n,options) uses an additional argument variable, options, to control clustering parameters, introduce a stopping criteria, and/or set the iteration information display.

If any entry of options is NaN, the default value for that option is used instead. The clustering process stops when the maximum number of iterations is reached, or when the objective function improvement between two consecutive iterations is less than the minimum amount of improvement specified.

Example



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