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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
Use requires package htmlwidgets.
library(devtools)
install_github("ramnathv/htmlwidgets")
install_github("McKayMDavis/klustR")pcplot,
a dynamic visualization of dimensionally reduced data:scaled_df <- scale(state.x77)
clus <- kmeans(data_scaled, 5)$cluster
pcplot(data = data_scaled, clusters = clus)Things to note:
Clicking on an axis label will display a bar-chart of each column’s contribution percentage to that particular dimension or principal component
Hovering over points displays the label
Clicking on a color on the legend highlights the associated cluster
pacoplot,
a dynamic parallel coordinates plot:df <- state.x77
clus <- kmeans(data_scaled, 5)$cluster
pacoplot(data = df, clusters = clus)Things to note:
Hovering over a line displays the label
Clicking on a line highlights the associated cluster
Clicking on the “Toggle Averages” box displays median lines and 1st and 3rd quartile intervals for each cluster
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.