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Totally Balanced Dissimilarities

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Abstract

We show in this paper a bijection between totally balanced hypergraphs and so-called totally balanced dissimilarities. We give an efficient way (O(n3) where n is the number of elements) to (i) recognize if a given dissimilarity is totally balanced and (ii) approximate it if it is not the case. We also introduce a new kind of dissimilarity which generalizes chordal graphs and allows a polynomial number of clusters that can be easily computed and interpreted.

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Correspondence to François Brucker.

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Brucker, F., Préa, P. & Châtel, C. Totally Balanced Dissimilarities. J Classif 37, 203–222 (2020). https://doi.org/10.1007/s00357-019-09320-w

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