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Practical Predictive Analytics by Ralph Winters

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Summarizing the metrics

Running a summary on the rules_clust object indicates an average support of 0.05, and average confidence of 0.43.

This demonstrates that using clustering can be a viable way to develop association rules, and reduce resources and the number of dimensions at the same time:

    support          confidence           lift      Min.   :0.02044   Min.   :0.09985   Min.   :0.989  1st Qu.:0.02664   1st Qu.:0.19816   1st Qu.:1.006  Median :0.03066   Median :0.27143   Median :1.526  Mean   :0.05040   Mean   :0.43040   Mean   :1.608  3rd Qu.:0.04234   3rd Qu.:0.81954   3rd Qu.:1.891  Max.   :0.17080   Max.   :1.00000   Max.   :3.022 

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