# How to deal with categorical feature in a Gaussian Mixture model clustering model

I am performing clustering by Gaussian Mixture model using EM algorithm in R. U use the mclust package. My data (205 observations and 25 variables) has both categorical and numerical variables. How do I deal with that problem?

My first thought is to transform my categorical variables to binary variables and then standardize the numerical variables in my data set. Is there any problem with that approach from a theoretical point of view?