%0 Journal Article %A Nugent, Rebecca %A Stuetzle, Werner %D 2003 %T Clustering with Confidence: A Binning Approach %U https://kilthub.cmu.edu/articles/journal_contribution/Clustering_with_Confidence_A_Binning_Approach/6586493 %R 10.1184/R1/6586493.v1 %2 https://kilthub.cmu.edu/ndownloader/files/12073478 %K Statistics %K Probability %X

We present a plug-in method for estimating the cluster tree of a density. The method takes advantage of the ability to exactly compute the level sets of a piecewise constant density estimate. We then introduce clustering with confidence, an automatic pruning procedure that assesses significance of splits (and thereby clusters) in the cluster tree; the only user input required is the desired confidence level.

%I Carnegie Mellon University