kmeans_plot: k-means Diagnostic Plot
In Kmisc: Kevin Miscellaneous
Description
Usage
Arguments
See Also
Examples
Description
Using kmeans, plot percentage variance explained vs.
number of clusters. Used as a means of picking k.
Usage
1
kmeans_plot(dat, nmax = 20, ...)
Arguments
dat
numeric matrix of data, or an object that can
be coerced to such a matrix (such as a numeric vector or
a data frame with all numeric columns).
nmax
maximum number of clusters to examine
...
optional arguments passed to xyplot
See Also
Examples
1
2
data(iris)
kmeans_plot(iris[,1:4])
Example output
Kmisc documentation built on May 29, 2017, 1:43 p.m.
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Description Usage Arguments See Also Examples
Description
Using kmeans, plot percentage variance explained vs.
number of clusters. Used as a means of picking k.
Usage
1 | kmeans_plot(dat, nmax = 20, ...)
|
Arguments
dat |
numeric matrix of data, or an object that can be coerced to such a matrix (such as a numeric vector or a data frame with all numeric columns). |
nmax |
maximum number of clusters to examine |
... |
optional arguments passed to xyplot |
See Also
Examples
1 2 | data(iris)
kmeans_plot(iris[,1:4])
|
Example output
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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