I have dataset consisting of house prices for example. The dataset contains features such as: house size, monthly rent, house colour, location, year the house was built.
I wanted to group these all attributes into clusters. The problem is how to represent the categorical features, such as colour. And how does the clustering algorithm work with these categorical variables?
Another question is: what happens if let’s say monthly rent 0, how does this affect clustering?