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A note on the triangle inequality for the Jaccard distance
Sven Kosub
TL;DR
The paper addresses proofs of the triangle inequality for Jaccard distances defined through nonnegative, monotone, submodular functions. It gives two direct proofs, establishes related validity results, and identifies scope boundaries for the underlying function class.
Problem
The paper studies how to prove the triangle inequality for generalized Jaccard distances based on nonnegative, monotone, submodular functions.
Method
It develops two simple, direct proofs connecting Jaccard distance inequalities with modular and submodular set-function properties.
Results
The results establish the triangle inequality for standard, generalized, and Steinhaus Jaccard distances, with Jδ,f also a pseudometric for budget-restricted linear costs and bipartite-graph neighborhood size.
Takeaways & Limitations
Theorem 4 motivates J∆δ,f as the appropriate submodular Jaccard distance and its inverse as the corresponding similarity index.
Takeaways & Limitations
Theorem 3 is not generally valid for all nonnegative, monotone, submodular functions; budget-restricted linear costs and bipartite-graph neighborhood size provide counterexample settings.
Abstract
from arXiv · showhide
Two simple proofs of the triangle inequality for the Jaccard distance in terms of nonnegative, monotone, submodular functions are given and discussed.