LIPIcs.CPM.2022.24.pdf
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Reordering a Tree According to an Order on Its Leaves
Authors
Laurent Bulteau 
,
Philippe Gambette ,
Olga Seminck
-
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Volume:
33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Annual Symposium on Combinatorial Pattern Matching (CPM) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-06-22
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Laurent Bulteau, Philippe Gambette, and Olga Seminck. Reordering a Tree According to an Order on Its Leaves. In 33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 223, pp. 24:1-24:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.CPM.2022.24
https://doi.org/10.4230/LIPIcs.CPM.2022.24
Abstract
In this article, we study two problems consisting in reordering a tree to fit with an order on its leaves provided as input, which were earlier introduced in the context of phylogenetic tree comparison for bioinformatics, OTCM and OTDE. The first problem consists in finding an order which minimizes the number of inversions with an input order on the leaves, while the second one consists in removing the minimum number of leaves from the tree to make it consistent with the input order on the remaining leaves. We show that both problems are NP-complete when the maximum degree is not bounded, as well as a problem on tree alignment, answering two questions opened in 2010 by Henning Fernau, Michael Kaufmann and Mathias Poths. We provide a polynomial-time algorithm for OTDE in the case where the maximum degree is bounded by a constant and an FPT algorithm in a parameter lower than the number of leaves to delete. Our results have practical interest not only for bioinformatics but also for digital humanities to evaluate, for example, the consistency of the dendrogram obtained from a hierarchical clustering algorithm with a chronological ordering of its leaves. We explore the possibilities of practical use of our results both on trees obtained by clustering the literary works of French authors and on simulated data, using implementations of our algorithms in Python.
Subject Classification
ACM Subject Classification
- Theory of computation → Parameterized complexity and exact algorithms
Keywords
- tree
- clustering
- order
- permutation
- inversions
- FPT algorithm
- NP-hardness
- tree drawing
- OTCM
- OTDE
- TTDE
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References
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