k_euclidean: Title Gap statisic with k-medoids euclidean
In HBPMedical/CCC: A wrapper to run the 3C methodology
Description
Usage
Arguments
Value
Examples
Description
Title Gap statisic with k-medoids euclidean
Usage
1
k_euclidean(x, K.max, B, verbose, plot.num.clus)
Arguments
x
Data matrix
K.max
the maximum number of clusters to consider, must be at least two. Default value is 10.
B
integer, number of Monte Carlo (“bootstrap”) samples. Default value is 100.
verbose
integer or logical, determining if “progress” output should be printed. The default prints
one bit per bootstrap sample. Default value is FALSE.
plot.num.clus
if TRUE (default) the gap statistic plot will be printed
Value
the clusGap function' values
Examples
1
# k_euclidean(subx, K.max=8, B=50, verbose=FALSE, plot.num.clus=TRUE)
HBPMedical/CCC documentation built on May 28, 2019, 12:40 p.m.
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Description Usage Arguments Value Examples
Description
Title Gap statisic with k-medoids euclidean
Usage
1 | k_euclidean(x, K.max, B, verbose, plot.num.clus)
|
Arguments
x |
Data matrix |
K.max |
the maximum number of clusters to consider, must be at least two. Default value is 10. |
B |
integer, number of Monte Carlo (“bootstrap”) samples. Default value is 100. |
verbose |
integer or logical, determining if “progress” output should be printed. The default prints one bit per bootstrap sample. Default value is FALSE. |
plot.num.clus |
if TRUE (default) the gap statistic plot will be printed |
Value
the clusGap function' values
Examples
1 | # k_euclidean(subx, K.max=8, B=50, verbose=FALSE, plot.num.clus=TRUE)
|
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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