The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Dynamic D3.js Based K-Means Clustering Visualizations in R

This package provides methods for dynamically visualizing k-means clustering data or any ordinal data and its associated clusters, though the original intention was to provide users with a more user friendly visualization tool for k-means clustering.

Development Version: 0.1.0 Travis build status

Installation

Use requires package htmlwidgets.

library(devtools)
install_github("ramnathv/htmlwidgets")
install_github("McKayMDavis/klustR")

Basic Usage

pcplot, a dynamic visualization of dimensionally reduced data:

scaled_df <- scale(state.x77)
clus <- kmeans(data_scaled, 5)$cluster
pcplot(data = data_scaled, clusters = clus)

Things to note:

pacoplot, a dynamic parallel coordinates plot:

df <- state.x77
clus <- kmeans(data_scaled, 5)$cluster
pacoplot(data = df, clusters = clus)

Things to note:

Visit website for more details.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.