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 = 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
[Package creditmodel version 1.3.1 Index]