Finite Mixture Models (FMM) Applied to the Segmentation of the Bogota Labor Market. The purpose of this article is to demonstrate that the semi-parametric approach with Finite Mixture Models (FMM) is a real alternative to clustering procedures to explain social phenomena. We present the general framework of FMM before detailing the three stages of Finite Mixture Regression Models (FMRM). An empirical application of this new method is used to analyze the segmentation between formal and informal economy on the labor market in Bogota.