I'm trying to cluster a list of records based on a (percentage) frequency distribution of variables which add up to 100%. Like
- Record1 - VarA(25%) VarB(25%) varC(50%) varD(0%)
- Record2- VarA(50%) VarB(15%) varc(0%) VarD(35%)
and so on. I have standardized variables before while dealing with different dimensions(lengths and weights) etc. In this case I do not think standardization is appropriate. Also is k means clustering appropriate in this context, I wanted to use k means and use the distribution observed at the centroid of the cluster for the whole cluster. Thanks a ton.