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What is K-Medoids Clustering for Measles Immunization about?

This document discusses using K-medoids clustering to analyze and group measles immunization data for toddlers in Indonesia from 2013-2017. K-medoids clustering can identify groupings of provinces based on their measles immunization percentages. Applying this technique to the data resulted in 3 clusters: a low cluster (2 provinces), a medium cluster (30 provinces), and a high cluster (2 provinces). This clustering of the immunization data may help the government distribute immunization programs more effecti

Author

Ryan ms

Language

EN