In this paper, we introduce a sibling distance ds for rooted labeled trees as an L1-distance between their sibling histograms, which consist of the frequencies of every pair of the label of a node and the sequence of labels of its children. Then, we show that δs gives a constant factor lower bound on the tree edit distance δ such that δ s(T1, T2) ≤ 4δ(T1, T2). Next, we design the algorithm to compute the sibling histogram in O(n) time for ordered trees and in O(gn) time for unordered trees, where n and g are the number of nodes and the degree of a tree. Finally, we give experimental results by applying the sibling distance to glycan data. © Springer-Verlag Berlin Heidelberg 2009.
CITATION STYLE
Aratsu, T., Hirata, K., & Kuboyama, T. (2009). Sibling distance for rooted labeled trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5433 LNAI, pp. 99–110). Springer Verlag. https://doi.org/10.1007/978-3-642-00399-8_9
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