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ClustNails: Visual Analysis of Subspace Clusters

Tatu, Andrada and Zhang, Leishi and Bertini, Enrico and Schreck, Tobias and Keim, Daniel A. and Bremm, Sebastian and Landesberger, Tatiana von (2012):
ClustNails: Visual Analysis of Subspace Clusters.
In: Tsinghua Science and Technology, pp. 419-428, 17, (4), [Article]

Abstract

Subspace clustering addresses an important problem in clustering multi-dimensional data. In sparse multi-dimensional data, many dimensions are irrelevant and obscure the cluster boundaries. Subspace clustering helps by mining the clusters present in only locally relevant subsets of dimensions. However, understanding the result of subspace clustering by analysts is not trivial. In addition to the grouping information, relevant sets of dimensions and overlaps between groups, both in terms of dimensions and records, need to be analyzed. We introduce a visual subspace cluster analysis system called ClustNails. It integrates several novel visualization techniques with various user interaction facilities to support navigating and interpreting the result of subspace clustering. We demonstrate the effectiveness of the proposed system by applying it to the analysis of real world data and comparing it with existing visual subspace cluster analysis systems.

Item Type: Article
Erschienen: 2012
Creators: Tatu, Andrada and Zhang, Leishi and Bertini, Enrico and Schreck, Tobias and Keim, Daniel A. and Bremm, Sebastian and Landesberger, Tatiana von
Title: ClustNails: Visual Analysis of Subspace Clusters
Language: English
Abstract:

Subspace clustering addresses an important problem in clustering multi-dimensional data. In sparse multi-dimensional data, many dimensions are irrelevant and obscure the cluster boundaries. Subspace clustering helps by mining the clusters present in only locally relevant subsets of dimensions. However, understanding the result of subspace clustering by analysts is not trivial. In addition to the grouping information, relevant sets of dimensions and overlaps between groups, both in terms of dimensions and records, need to be analyzed. We introduce a visual subspace cluster analysis system called ClustNails. It integrates several novel visualization techniques with various user interaction facilities to support navigating and interpreting the result of subspace clustering. We demonstrate the effectiveness of the proposed system by applying it to the analysis of real world data and comparing it with existing visual subspace cluster analysis systems.

Journal or Publication Title: Tsinghua Science and Technology
Volume: 17
Number: 4
Uncontrolled Keywords: Forschungsgruppe Visual Search and Analysis (VISA), Visualization, Data exploration, Cluster analysis
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
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