ggobi.hierfly {clusterfly}R Documentation

Visualise hierarchical clustering with GGobi

Description

Displays both data, and dendrogram in original high-d space

Usage

ggobi.hierfly(data, ...)

Arguments

data hierfly object to visualise in GGobi
...

Details

This adds four new variables to the original data set:

Make sure to select "attach edge set (edges)" in the in the edges menu on the plot window, when you create a new plot.

A tour over the original variables will show how the clusters agglomerate in space. Plotting order vs height, level or points will give various types of dendograms. A correlation tour with height/level/points on the y axis and the original variables on the x axis will show a mobile blowing in the wind.

Author(s)

Hadley Wickham <h.wickham@gmail.com>

See Also

cut.hierfly

Examples

h <- hierfly(iris)
ggobi(h)
h <- hierfly(iris, method="single")

[Package clusterfly version 0.2.2 Index]