Constructing additive trees when the error is small
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Updated: Oct 30, 2026

04:35
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
1Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong.
Abstract:
We consider the problem of constructing an additive tree from a given matrix of pairwise distances, when observation errors are allowed. We give conditions under which the tree topology is unique and semi-unique. We also design an efficient algorithm to construct a tree when the error is relatively small.
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