fuzzy_cluster_means: Fuzzy Cluster means.

In creditmodel: Toolkit for Credit Modeling, Analysis and Visualization

Description

This function is used for Fuzzy Clustering.

Usage

fuzzy_cluster_means(
  dat,
  kc = 2,
  sf = 2,
  nstart = 1,
  max_iter = 100,
  epsm = 1e-06
)

fuzzy_cluster(dat, kc = 2, init_centers, sf = 3, max_iter = 100, epsm = 1e-06)

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

creditmodel documentation built on Jan. 7, 2022, 5:06 p.m.