The Ultrametric Gromov–Wasserstein Distance
The Ultrametric Gromov–Wasserstein Distance
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超量格罗莫夫瓦瑟斯坦距离
DOI:
10.1007/s00454-023-00583-0
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发表时间:
2023
影响因子:
0.8
通讯作者:
Weitkamp, Christoph
中科院分区:
文献类型:
--
作者:
Mémoli, Facundo;Munk, Axel;Wan, Zhengchao;Weitkamp, Christoph
We investigate compact ultrametric measure spaces which form a subsetof the collection of all metric measure spaces. In analogy with the notion of the ultrametric Gromov–Hausdorff distance on the collection of ultrametric spaces, we define ultrametric versions of two metrics on, namely of Sturm’s Gromov–Wasserstein distance of orderpand of the Gromov–Wasserstein distance of orderp. We study the basic topological and geometric properties of these distances as well as their relation and derive fora polynomial time algorithm for their calculation. Further, several lower bounds for both distances are derived and some of our results are generalized to the case of finite ultra-dissimilarity spaces. Finally, we study the relation between the Gromov–Wasserstein distance and its ultrametric version (as well as the relation between the corresponding lower bounds) in simulations and apply our findings for phylogenetic tree shape comparisons.
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DOI:
--
发表时间:
2018
期刊:
Studies in applied mathematics (Cambridge)
影响因子:
--
作者:
F. Mémoli;Tom Needham
通讯作者:
Tom Needham
影响因子:
0.6
作者:
Zhengchao Wan
通讯作者:
Zhengchao Wan
影响因子:
4
作者:
Gellert, Manuela;Hossain, Md Faruq;Lillig, Christopher Horst
通讯作者:
Lillig, Christopher Horst
影响因子:
3.5
作者:
V. Liebscher
通讯作者:
V. Liebscher
DOI:
10.1145/3185466
发表时间:
2015
期刊:
ACM Transactions on Algorithms (TALG)
影响因子:
--
作者:
P. Agarwal;K. Fox;Abhinandan Nath;Anastasios Sidiropoulos;Yusu Wang
通讯作者:
Yusu Wang