Description
Variables Clustering.
Description
Performs clustering of quantitative variables, assuming that clusters lie in low-dimensional subspaces. Segmentation of variables, number of clusters and their dimensions are selected based on BIC. Candidate models are identified based on many runs of K-means algorithm with different random initializations of cluster centers.
README.md
README
What is this repository for?
Package varclust
- is R package for clustering quantitative variables
- provides estimation of number of clusters
- enables significant data dimension reduction
How do I get set up?
- Install varclust package using devtools package
install_github("psobczyk/varclust")
Download the package as an archive and install it manually from R console
You might need to install package dependencies:
- parallel
- doParallel
- foreach
- doRNG
- RcppEigen
- pesel
The pesel package can be installed using devtools package
install_github("psobczyk/pesel")
- No additional configuration is needed
- Read vignette to get familiar with basic usage
Who do I talk to?
- If help provided in the package documentation does not solve your problem please contact Piotr.Sobczyk[at]pwr.edu.pl
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 602552.