Hi all, I have performed a clustering analysis for some IDs with their characteristics and therefore been able to group each one of them into clusters. I was thinking that i have to validate my model with discriminant analysis to see if the model catches a good ratio. After validating i would like to be able to classify new given data into the clusters. I have to say though I am a bit confused with the procedure cause i havent had much experience before but i would like learn how. So here i go : 1) What would be the most efficient and clear SAS syntax for proc discriminant , i mean do i need all those options provided? 2) What part of the outputs should i center my focus on in order to better explain the procedure to someone else? So ok since i validate my model with already known outcomes (meaning cluster number at one column) i can understand a bit what the model is comparing to, my big confusion is when i have new given data without known outcome and i need to put my new ids into my given clusters. I mean how does that exactly work, sorry if i sound stupid about it but i am stuck on how that occurs. Would it be easy to demonstrate with a set with known outcomes and one without so i could get it better (even how to run the procedure). Do i have to run a similar procedure like when i validate? many thnx in advance
... View more