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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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How to evaluate "external" quality of clustering?

What are the usual approaches for measuring this "external" quality of clustering? … Having limited knowledge in clustering domain, I suspect I may be asking about really obvious thing, or my terminology may sound strange to clustering experts. …
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