Combining Cluster and Outlier Analysis with Visual Analytics

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

Combining Cluster and Outlier Analysis with Visual Analytics

Files

019-023.pdf (1.01 MB)

Date

2017

Authors

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

Publisher

The Eurographics Association

Abstract

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.

        @inproceedings{10.2312:eurova.20171114
,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {Michael Sedlmair and Christian Tominski
},
title = {{Combining Cluster and Outlier Analysis with Visual Analytics
}},
author = {Bernard, Jürgen and 
Dobermann, Eduard and 
Sedlmair, Michael and 
Fellner, Dieter W.
},
year = {2017
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-042-0
},
DOI = {10.2312/eurova.20171114
}
}