I have a dataset with 3 variables: A, B and C. Now, A and B are ordinal variables (i.e.; the result of two questions measured using a 5-point Likert), whereas B is continuous.
A and B are also correlated, Spearman rho = .50, p-value = 0.0046
I want to partition my dataset in 3 cluster using kmeans (the default R implementation). Does the fact that some of the variables in my dataset are correlated violates any assumptions for running the algorithm?