hclust_euc: Title Deciding on number of clusters by using Hierarchical...
In HBPMedical/CCC: A wrapper to run the 3C methodology
Description
Usage
Arguments
Value
Examples
Description
Title Deciding on number of clusters by using Hierarchical clustering euclidean
Usage
1
hclust_euc(x, k.gap, plot.clustering)
Arguments
x
data matrix
k.gap
positive integer specifying the number of clusters, less than the number of observation. Default value is 10.
plot.clustering
if TRUE (default) a 2-dimensional “clusplot” plot will be printed
y
Dependent variable
Value
summary table of the distribution to clusters
Examples
1
hclust_euc(subx, k.gap = 5, plot.clustering=TRUE)
HBPMedical/CCC documentation built on May 28, 2019, 12:40 p.m.
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Description Usage Arguments Value Examples
Description
Title Deciding on number of clusters by using Hierarchical clustering euclidean
Usage
1 | hclust_euc(x, k.gap, plot.clustering)
|
Arguments
x |
data matrix |
k.gap |
positive integer specifying the number of clusters, less than the number of observation. Default value is 10. |
plot.clustering |
if TRUE (default) a 2-dimensional “clusplot” plot will be printed |
y |
Dependent variable |
Value
summary table of the distribution to clusters
Examples
1 | hclust_euc(subx, k.gap = 5, plot.clustering=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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