Set classification aims to classify a set of observations as a whole, as opposed to classifying individual observations separately. To formally understand the unfamiliar concept of binary set ...

We consider the supervised classification setting, in which the data consist of p features measured on n observations, each of which belongs to one of classes. Linear discriminant analysis (LDA) is a ...