Questions about customer clustering/segmentation
I’m new to rapidminer, I did all the tutorials, but when I try my own cases, its a bit difficult to find the rigth operators and parameters.
I want to cluster my customers (CustomerID) in three groups based on their transactions.
Date of transaction (datatype: date)
Value of transaction (datatype: integer)
Number of transactions (datatype: integer)
I would like to give the customers with following features a higher rate (weight)
- more than one transactions
- with a higher transactionsvalue than average
- recent transactions (i.e. transactions in the last month)
Is their any possibilty to create a process in rapidminer, that reflect my requirements?
Which operator would be best for that use case?
Thanks for your help in advance and sorry for my poor english!