Title
Approximating Metrics by Tree Metrics of Small Distance-Weighted Average Stretch
Abstract
We study the problem of how well a tree metric is able to preserve the sum of pairwise distances of an arbitrary metric. This problem is closely related to low-stretch metric embeddings and is interesting by its own flavor from the line of research proposed in the literature. As the structure of a tree imposes great constraints on the pairwise distances, any embedding of a metric into a tree metric is known to have maximum pairwise stretch of $\Omega(\log n)$. We show, however, from the perspective of average performance, there exist tree metrics which preserve the sum of pairwise distances of the given metric up to a small constant factor, for which we also show to be no worse than twice what we can possibly expect. The approach we use to tackle this problem is more direct compared to a previous result of [4], and also leads to a provably better guarantee. Second, when the given metric is extracted from a Euclidean point set of finite dimension $d$, we show that there exist spanning trees of the given point set such that the sum of pairwise distances is preserved up to a constant which depends only on $d$. Both of our proofs are constructive. The main ingredient in our result is a special point-set decomposition which relates two seemingly-unrelated quantities.
Year
Venue
Field
2013
CoRR
Discrete mathematics,Equivalence of metrics,Combinatorics,Metric tree,Vantage-point tree,Intrinsic metric,BK tree,Spanning tree,Product metric,Injective metric space,Mathematics
DocType
Volume
Citations 
Journal
abs/1301.3252
1
PageRank 
References 
Authors
0.36
11
3
Name
Order
Citations
PageRank
Mong-jen Kao1267.82
D.T. Lee262778.14
Dorothea Wagner32362221.67