Tatu, Andrada ; Zhang, Leishi ; Bertini, Enrico ; Schreck, Tobias ; Keim, Daniel A. ; Bremm, Sebastian ; Landesberger von Antburg, Tatiana (2012)
ClustNails: Visual Analysis of Subspace Clusters.
In: Tsinghua Science and Technology, 17 (4)
Artikel, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Tatu, Andrada ; Zhang, Leishi ; Bertini, Enrico ; Schreck, Tobias ; Keim, Daniel A. ; Bremm, Sebastian ; Landesberger von Antburg, Tatiana |
| Art des Eintrags: | Bibliographie |
| Titel: | ClustNails: Visual Analysis of Subspace Clusters |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Tsinghua Science and Technology |
| Jahrgang/Volume einer Zeitschrift: | 17 |
| (Heft-)Nummer: | 4 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Forschungsgruppe Visual Search and Analysis (VISA), Visualization, Data exploration, Cluster analysis |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 22 Jul 2021 18:31 |
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