Abstract
2-ultrametrics are a generalization of the ultrametrics and it is known that there is a one-to-one correspondence between the set of 2-ultrametrics and the set of indexed 2-hierarchies (which are a generalization of indexed hierarchies). Cycle-complete dissimilarities, recently introduced by Trudeau, are a generalization of ultrametrics and form a subset of the 2-ultrametrics; therefore the set of cycle-complete dissimilarities corresponds to a subset of the indexed 2-hierarchies. In this study, we characterize this subset as the set of indexed acyclic 2-hierarchies, which in turn allows us to characterize the cycle-complete dissimilarities. In addition, we present an O\((n^2\log n)\) time algorithm that, given an arbitrary cycle-complete dissimilarities of order n, finds the corresponding indexed acyclic 2-hierarchy.
This work was supported by JSPS KAKENHI Grant Number 18K11180.
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The authors are grateful to the anonymous referees for useful comments which improved the presentation of the original version of this paper.
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Ando, K., Shoji, K. (2018). Characterizing Cycle-Complete Dissimilarities in Terms of Associated Indexed 2-Hierarchies. In: Kim, D., Uma, R., Zelikovsky, A. (eds) Combinatorial Optimization and Applications. COCOA 2018. Lecture Notes in Computer Science(), vol 11346. Springer, Cham. https://doi.org/10.1007/978-3-030-04651-4_43
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DOI: https://doi.org/10.1007/978-3-030-04651-4_43
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