set the number of iterations in FCM algorith

Hello,

The general form of fuzzy C-means is

[center,U,obj_fcn] = fcm(data,cluster_n,options)

options(1): exponent for the partition matrix U (default: 2.0)

options(2): maximum number of iterations (default: 100)

options(3): minimum amount of improvement (default: 1e-5)

options(4): info display during iteration (default: 1)

How can I change the number of iterations to 500?

I get the message "too many input arguments", if I use

fcm("my_data",10,2,500)

here 10 is the number of clusters and 2 is the exponent

Thank you.

Pavlos

Answer 1

[Walter Roberson]

fcm("my_data",10,[2,500])