PCA on binary dataset



Hi guys,

I am working on a dataset with 1500 binary variable. I am wondering if it is a good idea to apply PCA treating it as continuous data or use MCA or Factor Analysis.


You can use MCA and also categorical principal component analysis.


okay, thanks. I was trying to understand why doesnt PCA work in case of binary variables and can we make some changes before creating the eignevectors to get a better matrix which we can apply if we have binary dataset.

I will try MCA and update here .