31 citations · 43 across the 10 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 1 cited
Clustering with Confidence: Finding Clusters with Statistical Guarantees
Andreas Henelius, Kai Puolamäki, Henrik Boström +1
Clustering is a widely used unsupervised learning method for finding structure in the data. However, the resulting clusters are typically presented without any guarantees on their…
stat.ML2016★ 2 cited
Finding Statistically Significant Attribute Interactions
Andreas Henelius, Antti Ukkonen, Kai Puolamäki
In many data exploration tasks it is meaningful to identify groups of attribute interactions that are specific to a variable of interest. For instance, in a dataset where the attri…