Cluster Persistence for Weighted Graphs

Persistent homology is a natural tool for probing the topological characteristics of weighted graphs, essentially focusing on their 0-dimensional homology. While this area has been thoroughly studied, we present a new approach to constructing a filtration for cluster analysis via persistent homology...

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Bibliographic Details
Main Authors: Omer Bobrowski, Primoz Skraba
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/12/1587