num_clusters: Get the number of clusters.
In drodriguezperez/kselection: Selection of K in K-Means Clustering
num_clusters R Documentation
Get the number of clusters.
Description
The optimal number of clusters proposed by the method.
Usage
num_clusters(obj)
Arguments
obj
the output of kselection function.
Value
the number of clusters proposed.
Author(s)
Daniel Rodriguez
See Also
num_clusters_all, get_f_k
Examples
# Create a data set with two clusters
dat <- matrix(c(rnorm(100, 2, .1), rnorm(100, 3, .1),
rnorm(100, -2, .1), rnorm(100, -3, .1)), 200, 2)
# Get the optimal number of clustes
sol <- kselection(dat)
k <- num_clusters(sol)
drodriguezperez/kselection documentation built on May 24, 2022, 8:34 p.m.
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| num_clusters | R Documentation |
Get the number of clusters.
Description
The optimal number of clusters proposed by the method.
Usage
num_clusters(obj)
Arguments
obj |
the output of kselection function. |
Value
the number of clusters proposed.
Author(s)
Daniel Rodriguez
See Also
num_clusters_all, get_f_k
Examples
# Create a data set with two clusters
dat <- matrix(c(rnorm(100, 2, .1), rnorm(100, 3, .1),
rnorm(100, -2, .1), rnorm(100, -3, .1)), 200, 2)
# Get the optimal number of clustes
sol <- kselection(dat)
k <- num_clusters(sol)
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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