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

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...

詳細記述

保存先:
書誌詳細
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:
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/
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料