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Intraclass correlation coefficient (ICC) measures how much quantitative values are similar or associated within groups. There exist several versions and alternative formulations of ICC. The correlation is used to assess a dataset clusteredness, agreement among raters and in other settings.

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Which is the state of the art regarding methods for Association rule learning?

I have a set of data about which I would like as a first step, discover some interesting or frequent relationships. For this I know that there are several algorithms, like association or sequence lear …
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