ggobi.hierfly: Visualise hierarchical clustering with GGobi. Displays both...

In clusterfly: Explore clustering interactively using R and GGobi

Description

This adds four new variables to the original data set:

Usage

## S3 method for class 'hierfly'
ggobi(data, ...)

Arguments

data	hierfly object to visualise in GGobi
...	ignored

Details

• ORDER, the order in which the clusters are joined

• HEIGHT, the height of the branch, ie. the dissimilarity between the branches

• LEVEL, the level of the branch

• POINTS, the number of points in the branch

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.

See Also

cut.hierfly

Examples

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

clusterfly documentation built on May 2, 2019, 9:12 a.m.