Data Clusterization of Muslim Majority Countries to Find Out the Most Factors Causing Gender Issues Using the K-Means Algorithm-Reference-Cited by-同舟云学术

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

Published:2022-09-20 Issue: Volume: Page:
ISSN:
Container-title:2022 10th International Conference on Cyber and IT Service Management (CITSM)
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Author:

Fuadi Rifqi Syamsul¹,Maylawati Dian Sa'adillah¹,Pratama Ramdhan Nugraha¹,Firdaus Akhdan Musyaffa¹,Sari Dea Puminda¹,Hamdani Maulana¹,Nurhanivah Novia¹

Affiliation:

1. UIN Sunan Gunung Djati,Department of Informatics,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935828/9935829/09935861.pdf?arnumber=9935861

Reference15 articles.

1. Unsupervised K-Means Clustering Algorithm

2. Research on K-Value Selection Method of K-Means Clustering Algorithm

3. Unsupervised Clustering of Individuals Sharing Selective Attentional Focus Using Physiological Synchrony

4. A Modified Version of K-Means Algorithm

5. A Survey on Applications of Data Mining using Clustering Techniques;d;Int J Comput Appl,2015

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