Application de la Classification Ascendante Hiérarchique à la Répartition des Ressources Budgétaires dans la Ville-Province de Kinshasa
Abstract
This work is a DEA (Diplôme d'Études Approfondies) dissertation defended at the Université Pédagogique Nationale (UPN), Kinshasa. It applies hierarchical clustering techniques to analyze and improve the allocation of budgetary resources among municipalities in Kinshasa using multiple socio-economic indicators.
Fields of Study & Subjects
Local Government Finance and Decentralization
Data Mining and Machine Learning Applications
Advanced Clustering Algorithms Research
Publication details
- Publication date
- 1 January 2026
- Language
- FR
- Document type
- Preprint