This function extracts the prototype from each variable group.

proto(X, y, groups, type = c("max", "median"), mu = NULL)

Arguments

X Predictor matrix Response matrix with one column An group index vector containing the group number each variable belongs to. For example: c(1, 1, 1, 1, 1, 2, 2, 2, ...). Variable groups can be generated by the Fisher optimal partition algorithm implemented in FOP. The rule for extracting the prototype. Possible options are "max" and "median". The mean value of y for standarization. Default is NULL, which uses the sample mean of y.

Value

The prototypes (variable index) extracted from each group (cluster).