Dynamic plot: Animate glyph colours
Match all cluster indices to common reference.
Display model based clustering with mvn ellipses.
Displays the results of model based clustering with an ellipse drawn from
the multivariate normal model for each group.
Clarify matrix
Clarify matrix ordering to minimize off diagonals
Convert clusterfly object to data.frame.
Concatenates data and cluster assignments into one data.frame.
Cluster assignments are prefixed with cl_
.
Static plot: Variable distribution.
Draw a density plot for each continuous variable, facetted across clustering.
Creates a convenient data structure for dealing with a dataset and a number
of alternative clusterings.
Example clusterfly object created with olives data
Static plot: Parallel coordinates.
Draw a parallel coordinates plot, facetted across clustering.
Visualisig hierarchical clustering.
This method supplements a data set with information needed to draw a
dendrogram
Static plot: Fluctuation diagram.
Draw a fluctuation diagram comparing two clusterings.
Hierachical clustering
Convenient methods for hierachical clustering
Extract clusters from clustering object.
Add clustering.
Add convex hulls
Add conver hulls using the tool qconvex
Visualise hierarchical clustering with GGobi.
Displays both data and dendrogram in original high-d space.
Show in ggobi.
Opens an instance ggobi for this dataset (if not already open), and colours
the points according the cluster assignment.
Create multivariate ellipse.
Randomly sample points from a probability contour of a multivariate normal.
Visualise Kohonen self organising maps with GGobi
Displays both data, and map in original high-d space.
Cut hierfly object into k clusters/colours.