I have a dataset with 100 nominal categorical variables with two levels each, for example:
Do you smoke? Yes/No
Do you like to dance? Yes/No
How can I cluster this dataset for try to group/create "profiles"?
I know a few type of clustering algoritms, like PCA, K-neighbors etc. But I think that I can't just use this type of algoritms with non-quantitative variables, is it?