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Efficiency analysis
Clustering Hong Kong Areas by Working Population and Income
This document represents the unsupervised learning of clustering study, aiming to inform the siting of delivery courier stations, by clustering features from working population and income characteristics combined with geographic location.
By comparing 3 mainstream clustering methods(K-means,PAM,DBSCAN), try to find the appropriate clusters with reasonable interpretation.