Selection of K in K-Means Clustering

Selection of k in k-means clustering based on Pham et al. paper ``Selection of k in k-means clustering''.


News

kselection 0.2.0

  • kselection allows to inject a function that provides a different implementation of kmeans algorithm. This feature has developed thanks Harold Pimentel.
  • nstart is not a parameter of kselection to facilitate compatibility with different implementations of kmeans algorithm.
  • kselection allows the parallel execution of the algorithm using foreach package.

kselection 0.1.1

  • BREAKING CHANGE: Now the traceoption in the kselection function shows a trace, the progres must be selected using the progressBar option.
  • Add the possibility that kselection function display a trace of the progress.
  • Fix the error which appears in kselection when the number of rows in the input data is lower than 15.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("kselection")

0.2.0 by Daniel Rodriguez, 4 years ago


https://github.com/drodriguezperez/kselection


Report a bug at https://github.com/drodriguezperez/kselection/issues


Browse source code at https://github.com/cran/kselection


Authors: Daniel Rodriguez


Documentation:   PDF Manual  


GPL-3 license


Imports tools

Suggests amap, FactoClass, foreach, LICORS, testthat


See at CRAN