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DOI: 10.14569/IJACSA.2021.0120959
PDF

Analogy of the Application of Clustering and K-Means Techniques for the Approximation of Values of Human Development Indicators

Author 1: José Luis Morales Rocha
Author 2: Mario Aurelio Coyla Zela
Author 3: Nakaday Irazema Vargas Torres
Author 4: Genciana Serruto Medina

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 9, 2021.

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Abstract: The objective of this study was to apply Clustering and K-Means’ techniques to classify the departments of Peru according to their Human Development Index. In this article, the elbow method was used to determine the optimal number of clusters, applying the classification algorithms to group the departments of Peru according to their similarities, in addition to the Principal Component Analysis (PCA) technique for a better display of clusters. After applying the unsupervised algorithms, the results were more relevant in clusters 2 and 4 according to their HDI, made up of the departments of Arequipa, the Constitutional Province of Callao, Ica, Lima, Moquegua and Tacna, where the most notable is the life expectancy at birth, the population with full secondary education, the number of years of education, the average per capita income, and the state's density index. The results obtained by the K-Means algorithm show more cohesive results than the Clustering algorithm.

Keywords: Clustering; K-Means; elbow method; cohesion; separation; human development index

José Luis Morales Rocha, Mario Aurelio Coyla Zela, Nakaday Irazema Vargas Torres and Genciana Serruto Medina, “Analogy of the Application of Clustering and K-Means Techniques for the Approximation of Values of Human Development Indicators” International Journal of Advanced Computer Science and Applications(IJACSA), 12(9), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120959

@article{Rocha2021,
title = {Analogy of the Application of Clustering and K-Means Techniques for the Approximation of Values of Human Development Indicators},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120959},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120959},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {9},
author = {José Luis Morales Rocha and Mario Aurelio Coyla Zela and Nakaday Irazema Vargas Torres and Genciana Serruto Medina}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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