I got a data set wit nominal, ordinal and metric variables. I want to perform a cluster analysis, since I have mixed scales it seems that using k-modes clustering is the most appropriate way to explore the data. Or has anyone a better way in mind? I am thanksful for any advices!
It's not enough to just make there program run.
It needs to answer the right question. K-means, k-medians, k-medoids, k-modes. Each optimizes a different function. Math won't tell you which function it the best for you. That is the question you need to answer, which function solves your problem?