Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.]

• 主要な著者: Pusadan, Mohammad Yazdi, Rabbani, Mohammad Abied, Ardiansyah, Rizka, Ngemba, Hajra Rasmita
• フォーマット: Book Section
• 言語: English
• 出版事項: Faculty of Computer and Mathematical Sciences 2023
• 主題: Integer programming
• オンライン･アクセス: https://ir.uitm.edu.my/id/eprint/93953/1/93953.pdf; https://ir.uitm.edu.my/id/eprint/93953/

The purpose of this study is to apply the K-Means algorithm to perform clustering on COVID-19 data to determine the high spread of the virus in regions in Indonesia based on the frequency of the data. The data source used as training data comes from the official Kaggle website, the data used in this...