MustaCHE: A multiple Clustering Hierarchies Explorer

Antonio Cavalcante Araujo Neto, Mario A. Nascimento, Joerg Sander, Ricardo J.G.B. Campello

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review


In this demonstration paper we introduce MustaCHE (Multiple Clustering Hierarchies Explorer), a tool that allows analysis and exploration of multiple clustering hierarchies in an interactive and visual manner. A known issue in the context of density-based clustering is how to set parameters. Typically one has to resort to trial-and-error, and its potential pitfalls, which may possibly include not finding existing clusters at all. In a previous work we have devised a very efficient technique to generate clustering hierarchies using HDBSCAN* w.r.t. a range of its clustering parameter, mpts. However, finding the “best“ mpts value is still an open problem. In order to mitigate this issue we developed MustaCHE, a tool that allows a user to visualize several different density-based cluster hierarchies of a dataset w.r.t. a large range of mpts values. The user can then explore hierarchies individually and, at the same time, see how they compare to the other hierarchies. The simultaneous visualization of multiple clustering hierarchies provided by MustaCHE makes it feasible (and easy) for a user to gain a deeper understanding of the data and how its cluster structures behave under different parameter settings.

TidsskriftProceedings of the VLDB Endowment
Udgave nummer12
Sider (fra-til)2058-2061
StatusUdgivet - 2018
Udgivet eksterntJa
Begivenhed44th International Conference on Very Large Data Bases, VLDB 2018 - Rio de Janeiro, Brasilien
Varighed: 27. aug. 201831. aug. 2018


Konference44th International Conference on Very Large Data Bases, VLDB 2018
ByRio de Janeiro

Bibliografisk note

Publisher Copyright:
© 2018 VLDB Endowment.


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