Normalization Issue
Hello Rapid Miner Community,
I'm currently working on a clustering model.
I cluster different countries according to certain determinants.
I'm currently working on a clustering model.
I cluster different countries according to certain determinants.
However, the determinants are composed of different factors (example: Determinant: Degree of economic integration is composed of the factors: Trade Freedom and Trading across borders. The determinant transport infrastructure consists only of the factor: LPI Index).
I use the normalization operator to isolate different scale levels.
However, each determinant (degree of economic integration and transport infrastructure) should be equally weighted, since one determinant consists of more indicators than the other, it is overweighted so far.
My question to you is how I should proceed in RapidMiner in order to weight each determinant equally without having to aggregate the individual factors of a determinant.
Thank you for your support and hints.
Best regards, Carlo