Data Clusterization of Muslim Majority Countries to Find Out the Most Factors Causing Gender Issues Using the K-Means Algorithm

Autor:	Rifqi Syamsul Fuadi, Dian Sa'adillah Maylawati, Ramdhan Nugraha Pratama, Akhdan Musyaffa Firdaus, Dea Puminda Sari, Maulana Hamdani, Novia Nurhanivah
Rok vydání:	2022
Zdroj:	2022 10th International Conference on Cyber and IT Service Management (CITSM).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4ccc6a7ab8ee7caac174e619e19fd1a5 https://doi.org/10.1109/citsm56380.2022.9935861 Zobrazit plný text záznamu