Description Usage Arguments Author(s) See Also Examples
Hierarchical clustering based on the Mahalanobis distances between group
centers for class nlda
. Group centers coordinates of the training data
points can be calculated using all possible discriminant functions or a
selected number of discriminant functions.
1 2 3 4 |
x |
An object of class |
method |
Agglomeration method to be used. This should
be an unambiguous abbreviation of
|
df2use |
Discriminant functions to be included in the HCA (by default all of DFs are
considered if |
main, sub, xlab, ylab |
Character strings for annotating the HCA plot.
For details, see |
... |
Additional arguments to |
David Enot dle@aber.ac.uk and Wanchang Lin wll@aber.ac.uk.
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