kmeansstep-package: stepwise k-means cluster model selection
In kmeansstep: stepwise k-means cluster model selection
Description
Details
Author(s)
References
Description
A simple collection of functions to allow stepwise k-means cluster modelselection using AIC or BIC and the Ellbow-Method as described: http://sherrytowers.com/2013/10/24/k-means-clustering/
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
Markus Mayer
Maintainer: Markus Mayer <markus.mayer@wu.ac.at>
References
http://sherrytowers.com/2013/10/24/k-means-clustering/
kmeansstep documentation built on May 2, 2019, 5 p.m.
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Description Details Author(s) References
Description
A simple collection of functions to allow stepwise k-means cluster modelselection using AIC or BIC and the Ellbow-Method as described: http://sherrytowers.com/2013/10/24/k-means-clustering/
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
Markus Mayer
Maintainer: Markus Mayer <markus.mayer@wu.ac.at>
References
http://sherrytowers.com/2013/10/24/k-means-clustering/
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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