Description Usage Arguments Value See Also
Provides a visualisation of a data set using a low dimensional projection obtained using projection pursuit based on cluster based projection indices.
1 2 |
x |
a solution arising from one of the functions mcdr, mddr and ncutdr. |
labels |
(optional) a vector of class labels. if provided then points in different classes are plotted in different colours. |
pairs |
(optional) if omitted then the first two dimensions are shown. If an integer > 1 then all pairs from the first 1:pairs dimensions are shown. |
PCA |
(optional) logical. If TRUE then an additional principal component rotation is applied. This can make more clusters visible within a low dimensional projection. |
transparency |
(optional) if ommitted then points in scatterplots are shown as solid. If set to a value in (0, 1) then points are shown with transparency. Lower values correspond with a greater degree of transparency. |
... |
additional graphical parameters. Currently none implemented. |
None
mcdr, mddr, ncutdr
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