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Found 2 papers, 2 papers with code
Selective inference for k-means clustering
We consider the problem of testing for a difference in means between clusters of observations identified via k-means clustering.
Tree-Values: selective inference for regression trees
A naive approach to inference that does not account for the fact that the tree was estimated from the data will not achieve standard guarantees, such as Type 1 error rate control and nominal coverage.
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