206 citations · 315 across the 22 of their papers we have counts for
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cs.LG2019
Coverage-based Outlier Explanation
Yue Wu, Leman Akoglu, Ian Davidson
Outlier detection is a core task in data mining with a plethora of algorithms that have enjoyed wide scale usage. Existing algorithms are primarily focused on detection, that is th…
cs.LG2019★ 11 cited
Towards Fair Deep Clustering With Multi-State Protected Variables
Bokun Wang, Ian Davidson
Fair clustering under the disparate impact doctrine requires that population of each protected group should be approximately equal in every cluster. Previous work investigated a di…
cs.LG2019★ 10 cited
A Framework for Deep Constrained Clustering -- Algorithms and Advances
Hongjing Zhang, Sugato Basu, Ian Davidson
The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist for popular algorithms such as…