What transformation measure needs to be taken for "only categorical" and "mix of numeric and categorical" and "Non-Euclidean data" for Gaussian mixture models? Does GMM only work on numerical data?
i am working on a project in which i am using a dataset -https://www.kaggle.com/aljarah/xAPI-Edu-Data
. I want to do clustering of students (each student represented as index), based upon various attributes of the dataset like raised hands, visited…
I'm working on a code received from a collaborator and it contains two functions from the deprecated GMM class in sklearn:
distribute_covar_matrix_to_match_covariance_type
log_multivariate_normal_density
Since I'm not that familiar with the math…