Exploring high-dimensional classification boundaries
Hadley Wickham, Doina Caragea · 2005
Given p-dimensional training data containing d groups (the design space), a classification algorithm (classifier) predicts which group new data belongs to. Typically, the classifier is treated as a black box and the