Characterizing Properties for Q-Clustering
Reza Bosagh Zadeh, Gunnar Carlsson

TL;DR
This paper provides an axiomatic characterization of two Q-Clustering algorithms, Max-Sum and Single-Linkage, using tree-based properties, and explores their interactions to refine clustering taxonomy.
Contribution
It introduces a novel axiomatic framework for characterizing key Q-Clustering algorithms with tree constructions, clarifying their properties and interactions.
Findings
Characterization of Max-Sum using Gomory-Hu trees
Characterization of Single-Linkage using Maximum Spanning Tree
Insights into how properties interact and refine clustering taxonomy
Abstract
We uniquely characterize two members of the Q-Clustering family in an axiomatic framework. We introduce properties that use known tree constructions for the purpose of characterization. To characterize the Max-Sum clustering algorithm, we use the Gomory-Hu construction, and to characterize Single-Linkage, we use the Maximum Spanning Tree. Although at first glance it seems these properties are `obviously' all that are necessary to characterize Max-Sum and Single-Linkage, we show that this is not the case, by investigating how subsets of properties interact. We conclude by proposing additions to the taxonomy of clustering paradigms currently in use.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Management and Algorithms · Rough Sets and Fuzzy Logic · Advanced Clustering Algorithms Research
