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Fair Hierarchical Clustering

Data Skeptic

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Is There a Key Intuition for Fair Clustering?

Chikan: I was inspired by these kind of ioceal examples that we were seeing for neural networks and even, you know, for clustering algorithms. And i guess our work kind of looked at introducing new data points that we call antido data points. They don't really have any real world significance, but they are computed in such a way that when you add them to your original data set, the output clusters that you would see would be fair with whatever metric you can define. Chikan: Is there thing coming upon us where beno is being employed in biplanes? The word 'black box' might be a huge understatement.

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