I have created a risk score (point-based risk score) to predict time to brain metastases from covariates selected with a backward approach. My risk score ranges from 0 to 45. I need to classify my patients into 4 risk groups:low/intermediate low/ intermediate high/high. My question is: can I use a clustering approach like k-means, by including my clinical characteristics and my risk score, to obtain clusters with similar risk scores and clinical characteristics?
Thank you in advance for your help.