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Every region in Indonesia has different potentials and need to be analyzed for national development considerations. This analyzed can be accomplished with clustering Indonesian regional potential data, which is collected from PODES enumeration. This data consist of both numeric and categorical attributes. However, most of clustering algorithm can be applied on either numeric or categorical data. K-prototypes...
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