Unsupervised Machine Learning Classification to Identify Export Concentration

The aim of this study is to highlight trends in the economy’s foreign trade, and to identify gains in terms of exportable supply in the light of changes in the productive structure of the Moroccan economy. This study is based on the application of an unsupervised classification method applied to foreign trade data for the last 25 years. The results of the study reveal a concentration of exports around traditional segments of the economy, reflecting a certain slowness in the process of development and sophistication of the exportable supply.