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Can I read K-Means Clustering for COVID-19 Data in West Bandung on EtoBox?

K-Means Clustering for COVID-19 Data in West Bandung by Robi Aziz is a document available to read on EtoBox.

What is K-Means Clustering for COVID-19 Data in West Bandung about?

This study implements the K-Means Clustering algorithm to analyze and classify Covid-19 case data in West Bandung Regency, Indonesia, into three clusters: high, medium, and low. Using the Orange application, the research identifies 8 sub-districts in the high cluster, 2 in the medium cluster, and 6 in the low cluster, facilitating targeted government action against the pandemic. The findings aim to assist local authorities in managing and preventing the spread of Covid-19 more effectively.

Author
Robi Aziz
Language
EN