large nominal Attributes
i'm relative new with RM.
I have a data set and one of the variable is customer-ID. Their are over 1 million different customer-IDs. Is their a way to reduce the dimension so i can use them for my analysis (neural network)? I know i can cluster the ID by other variables but maybe their are other solutions. I have heard about feature hashing.
thanks for your help and your input.