I have a data-set containing only Categorical Variables. I needed to do Principal Component Analysis on the data set. Eventually, I found Multiple Correspondence Analysis and learnt it. But, in MCA, it's assumed that, each of the Categorical variable has only one of the levels as True and others as False, i.e an observation can not belong more than 1 category of the same variable.
But in my data-set, I have multiple value for a categorical variable. For example, a disease has a set of symptoms, so, symptoms feature is a multi-valued categorical variable, where each of the symptom creates a different level. So for a disease, symptom feature can have multiple levels as true.
How do I run PCA/MCA/FAMD on such data-set? Is there any solution to this issue?
Thanks a lot for helping.