使用K-Means算法对穆斯林占多数的国家进行数据聚类,找出导致性别问题的最主要因素

R. Fuadi, D. Maylawati, R. Pratama, Akhdan Musyaffa Firdaus, Dea Puminda Sari, Maulana Hamdani, Novia Nurhanivah
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引用次数: 0

摘要

伊斯兰教是一个维护妇女尊严的宗教。甚至伊斯兰教也教导说,天堂就在母亲的脚下。然而,在大多数人口为穆斯林的国家,性别问题仍然存在。因此,这篇文章是为了了解在穆斯林人口占多数的各个国家,造成性别问题的最主要因素。这些因素分为内部因素和外部因素。内部因素包括与自身相关的因素。外部因素包括自身以外的因素,比如文化。作者使用K-Means算法作为对检索数据进行管理的算法。作者收集了在互联网上找到的关于穆斯林占主导地位的国家中男性和女性对伊斯兰教和性别问题的反应的调查数据。
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Data Clusterization of Muslim Majority Countries to Find Out the Most Factors Causing Gender Issues Using the K-Means Algorithm
Islam is a religion that upholds the dignity of women. Even Islam teaches that heaven is at the feet of a mother. However, in countries where most of the population is Muslim, gender issues persist. Therefore, this article was created to know the factors that most contribute to gender issues in various countries where most of the population is Muslim. These factors are divided into internal factors and external factors. Internal factors include those that are relevant to oneself. External factors include things other than oneself, such as culture. The author uses the K-Means algorithm as the algorithm used to manage the retrieved data. The author uses a collection of survey data found on the Internet about the reactions of men and women to Islam and gender issues in Muslim-dominated countries.
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