
For each of the following situations, decide what type of clustering should be used (hierarchical or partitional; exclusive, overlapping, or fuzzy; and complete or partial) to obtain the desired grouping. If you believe that data could be clustered using several different types of clustering, please state your assumptions. Example: A nutritionist asks you various questions to assess your risk for diabetes. Based on this data, the nutritionist hopes to group people in three different categories: low, medium and high
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