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Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]

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Relationship between random variables that are parameterized

Suppose we have $n$ random variables $X_n$ - let's say these are measures of customer engagement - and we sample these $m$ times through a set of designed trials. The resulting $m$ data points define …
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