CH.sel: Number of cluster selection according to 'CH' index
In LilithF/doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning
Description
Usage
Arguments
Value
View source: R/CH_index_functions.R
Description
Wrapper to estimate the best number of clusters according to CH index.
Usage
1
Arguments
data
dataframe for which the number of cluster should be estimated.
min.nc
integer strictly higher than 1: minimum number of clusters.
max.nc
integer (>min.nc): maximum number of clusters.
method
string, clustering algorithm to use. The only available values
for now are "kmed" for K-medians clustering and
"kproto" for clustMixType::kproto() clustering.
Value
A list containing the selected number of clusters, the CH values and
the best partition.
LilithF/doMIsaul documentation built on Dec. 17, 2021, 12:08 a.m.
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Description Usage Arguments Value
View source: R/CH_index_functions.R
Description
Wrapper to estimate the best number of clusters according to CH index.
Usage
1 |
Arguments
data |
dataframe for which the number of cluster should be estimated. |
min.nc |
integer strictly higher than 1: minimum number of clusters. |
max.nc |
integer ( |
method |
string, clustering algorithm to use. The only available values
for now are " |
Value
A list containing the selected number of clusters, the CH values and the best partition.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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