Mi SciELO
Servicios Personalizados
Articulo
Indicadores
Citado por SciELO
Links relacionados
Similares en SciELO
Compartir
Economía y Desarrollo
versión On-line ISSN 0252-8584
Resumen
RENTERIA-RAMOS, Rafael; VELASCO BONILLA, Alonso; MARIA BURBANO, José y M. VITALE, Alicia. Construction of Business Cluster in the Health Sector in Santiago de Cali through the Multivariate Fuzzy C-Means Algorithm. Econ. y Desarrollo [online]. 2017, vol.158, n.2, pp. 129-140. ISSN 0252-8584.
This article proposes a methodology for the creation of business clusters in the subsector of health care in Santiago de Cali. To do this, as an element, an instrument was developed to evaluate the components that boost business competitiveness in different territorial contexts. Once these results were obtained, the Multivariate Fuzzy C-Means (MFCM) algorithm was implemented, and through the degrees of membership of each one of the companies, in the different clusters the companies with which cooperative ties could be built were selected. This application, besides generating important academic results, allowed to characterize the position of SMEs in the health subsectors in Santiago de Cali and the main challenges that these must assume from the institutional and / or private sector. This ensures the profitability, sustainability and dynamics of collaborative synergies.
Palabras clave : competitiveness; cluster; degrees of membership.