Ensemble clustering for graphs: comparisons and applications

Ensemble clustering for graphs: comparisons and applications

Abstract We recently proposed a new ensemble clustering algorithm for graphs (ECG) based on the concept of consensus clustering. In this paper, we provide experimental evidence to the claim that ECG alleviates the well-known resolution limit issue, and that it leads to better stability of the partit...

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Bibliographic Details
Main Authors: Valérie Poulin, François Théberge
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Applied Network Science
Subjects:
Graph
Clustering
Ensemble
Concensus
Online Access:http://link.springer.com/article/10.1007/s41109-019-0162-z

Internet

http://link.springer.com/article/10.1007/s41109-019-0162-z

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