fuzzy_cluster_means {creditmodel}R Documentation

Fuzzy Cluster means.

Description

This function is used for Fuzzy Clustering.

Usage

fuzzy_cluster_means(
  dat,
  kc = 2,
  sf = 2,
  nstart = 1,
  max_iter = 100,
  epsm = 0.000001
)

fuzzy_cluster(
  dat,
  kc = 2,
  init_centers,
  sf = 3,
  max_iter = 100,
  epsm = 0.000001
)

Arguments

dat

A data.frame contained only predict variables.

kc

The number of cluster center (default is 2),

sf

Default is 2.

nstart

The number of random groups (default is 1),

max_iter

Max iteration number(default is 100) .

epsm

Default is 1e-06.

init_centers

Initial centers of obs.

References

Bezdek, James C. "FCM: The fuzzy c-means clustering algorithm". Computers & Geosciences (0098-3004),doi: 10.1016/0098-3004(84)90020-7


[Package creditmodel version 1.3.0 Index]