I have a total of 32 observation that I would like to cluster. The data avaiolable comes in 2 formats:
- Continuous data
- Summarized categorical data
What I mean with summarized categorical data is that I originally had categorical (e.g. band 1, 2 or 3) data which I summarised (band 1 = 50%, band 2 = 30% and band 3 = 20%) for each observation.
What are some common clustering algorithms that I can use with this mix of data? What do I need to be careful of when mixing these two types of variables in one model?