Publikation:

Using Projections to Visually Cluster High-Dimensional Data

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HDEyePublishedVersion.pdf
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2003

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Hinneburg, Alexander
Wawryniuk, Markus

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Computing in science and engineering. 2003, 5(2), pp. 14-25. Available under: doi: 10.1109/MCISE.2003.1182958

Zusammenfassung

The High-Dimensional Eye system proves that a tight integration of advanced clustering algorithms and state-of-the-art visualization techniques can help us better understand and effectively guide the clustering process, and thus significantly improve the clustering results.

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ISO 690HINNEBURG, Alexander, Daniel A. KEIM, Markus WAWRYNIUK, 2003. Using Projections to Visually Cluster High-Dimensional Data. In: Computing in science and engineering. 2003, 5(2), pp. 14-25. Available under: doi: 10.1109/MCISE.2003.1182958
BibTex
@article{Hinneburg2003Using-5642,
  year={2003},
  doi={10.1109/MCISE.2003.1182958},
  title={Using Projections to Visually Cluster High-Dimensional Data},
  number={2},
  volume={5},
  journal={Computing in science and engineering},
  pages={14--25},
  author={Hinneburg, Alexander and Keim, Daniel A. and Wawryniuk, Markus}
}
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