Combining Cluster and Outlier Analysis with Visual Analytics

Jürgen Bernard, Eduard Dobermann, Michael Sedlmair, Dieter W. Fellner

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung


Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In this work, we present a visual analytics tool that allows the combined analysis of clusters and outliers. Users can add multiple clustering and outlier analysis algorithms, compare results visually, and combine the algorithms' results. The usefulness of the combined analysis is demonstrated using the example of labeling unknown data sets. The usage scenario also shows that identified clusters and outliers can share joint areas of the data space.
TitelEuroVis Workshop on Visual Analytics EuroVA 2017
Herausgeber (Verlag)Eurographics - European Association for Computer Graphics
PublikationsstatusVeröffentlicht - 2017
VeranstaltungEuroVis Workshop on Visual Analytics 2017: EuroVA 2017 - Barcelona, Spanien
Dauer: 12 Juni 201713 Juni 2017


KonferenzEuroVis Workshop on Visual Analytics 2017

Fields of Expertise

  • Information, Communication & Computing

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