Use the k-means method to divide the observations into homogeneous clusters, based on their description by a set of quantitative variables. Note: for categorical variables, you must first perform a Multiple Correspondence Analysis (MCA) and consider the resulting coordinates of the observations on the factorial axes as new variables.