Comparison between classification algorithms using a multiple correspondence analysis with python.

Abstract

To analyse the data of a survey questionnaire we apply multiple correspondence analysis “MCA” as a method to help us convert data into a scatter plot, but it is difficult to study it and get good results, so we need to make a classification to facilitate the study. Among the most usable classification methods, hierarchical ascending classification and k-means. To compare them, we conducted a questionnaire on distance studies during the Corona crisis, which included the opinions of 304 university professors from most universities in Algeria; in our application, we used the Python programming language.