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All Journal Journal of Soft Computing Exploration Journal of Student Research Exploration
Dwika Ananda Agustina Pertiwi
Universiti Tun Hussein Onn Malaysia, Malaysia
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Journal : Journal of Student Research Exploration

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Analysis of k-means clustering algorithm in advanced country clustering using rapid miner Ireneus Prabaswara; Dwika Ananda Agustina Pertiwi; Jumanto Jumanto
Journal of Student Research Exploration Vol. 2 No. 2: July 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v2i2.337

Abstract

In the era of globalization, the understanding of developed countries is no longer limited to the level of per capita income alone. As part of the analysis of developed countries based on aspects of government revenue, income balance, national savings, and domestic output based on sales. This research aims to cluster and to find out how these economic indicators are interrelated and affect the status of a country as a developed country. The K-means algorithm is used to identify patterns of countries with similar economic characteristics. From the research conducted, there are 4 clusters generated based on the characteristics of developed countries.
Co-Authors Ahmed Mohamed Annegrat Apri Dwi Lestari Atta Ullah Khan Ireneus Prabaswara Jumanto Unjung Kamilah Ahmad Muazam Ali Much Aziz Muslim Much Aziz Muslim Rini Muzayanah Shahrul Nizam Salahudin