WEST JAVAâS COVID-19 RELATED DATA SEGMENTATION WITH PRINCIPAL COMPONENT ANALYSIS AND K-MEDOID CLUSTERING
In this paper, it will be shown that data related to CoViD-19 in West Java Province can be segmented into several characteristics that can be used as an alternative in evaluating Government control of CoViD-19 transmission. Initially, the authors used principal component analysis to represent dat...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/52076 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In this paper, it will be shown that data related to CoViD-19 in West Java Province
can be segmented into several characteristics that can be used as an alternative in
evaluating Government control of CoViD-19 transmission. Initially, the authors
used principal component analysis to represent data in smaller subspaces for ease of
visualization with optimal total projected variance of the data. After that, the authors
utilized the k?medoid clustering method for the principal component analysis
output segmentation. Finally, the results of the clustering are observed and analyzed
as a first step in concluding the evaluation of Government control over CoViD-19
transmission. |
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