I'm currently working on a cluster analysis project and ran kmeans on the data for k=2.
I was reading similar articles on similar experiments, and the investigators used discriminant analysis to verify their cluster groups.
I was wondering how to use linear discriminant analysis is used to verify the cluster groups from kmeans, is LDA done separately and then done compared to the kmeans result or if a result from the kmeans is used as a parameter in the LDA call in R?
I'm sorry if this question is vague, but I have never been exposed to discriminant analysis before.
Also the data gathered is repeated measures, and unbalanced per individual, not sure if that valids some assumptions for LDA.