Clusterización electoral de los municipios de Antioquia mediante algoritmo de clasificación no supervisada K-Means

José Sebastian Díaz-Arguello

doi:10.33571/rpolitec.v21n42a6

Authors

José Sebastian Díaz-Arguello Politécnico Jaime Isaza Cadavid https://orcid.org/0009-0007-9995-9674

DOI:

https://doi.org/10.33571/rpolitec.v21n42a6

Keywords:

Electoral, Democracy, Politics, Clustering, Statistics

Abstract

This study aims to classify the municipalities of the department of Antioquia according to their electoral behavior in the 2022 Senate elections, through the application of the unsupervised classification algorithm K-Means. Political parties with a participation greater than 5% of the total votes in the department were selected. The results allowed the identification of four clústers with clear electoral patterns: one with a predominant liberal tendency, another showing a balanced distribution among parties, a group oriented toward the Centro Democrático party, and a group with a conservative predominance. The methodology proved effective in detecting territorial electoral patterns, demonstrating the usefulness of machine learning techniques in electoral analysis and their potential application in comparative political studies.

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Author Biography

José Sebastian Díaz-Arguello, Politécnico Jaime Isaza Cadavid

Economista y Magister en Ciencias Económicas de la universidad Santo Tomas, Especialista en Analítica de datos del Politécnico Jaime Isaza Cadavid

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