The classifly package uses rggobi to visualise classification
boundaries in high-dimensions. Given p-dimensional training data
containing d groups (the design space), a classification algorithm
(classifier) predicts which group new data belongs to. Generally the
input to these algorithms is high dimensional, and the boundaries
between groups will be high dimensional and perhaps curvilinear or
multi-facted. This R package provides methods for visualising the
division of space between the groups.
More information and a paper describing the ideas can be found at
http://had.co.nz/classifly/.
Regards,
Hadley
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