Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Berthold, Michael R.; Wiswedel, Bernd; Patterson, David E.

Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Dateien

Neighborgram_Clustering_Interactive_Exploration_of_Cluster_Neighborhoods.pdfGröße: 198.7 KBDownloads: 319

Datum

2002

Autor:innen

Berthold, Michael R.

Wiswedel, Bernd

Patterson, David E.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

2002 IEEE International Conference on Data Mining, 2002. Proceedings.. IEEE Comput. Soc, 2002, pp. 581-584. ISBN 0-7695-1754-4. Available under: doi: 10.1109/ICDM.2002.1184004

Zusammenfassung

We describe an interactive way to generate a set of clusters for a given data set. The clustering is done by constructing local histograms, which can then be used to visualize, select, and fine-tune potential cluster candidates. The accompanying algorithm can also generate clusters automatically, allowing for an automatic or semi-automatic clustering process where the user only occasionally interacts with the algorithm. We illustrate the ability to automatically identify and visualize clusters using NCI s AIDS Antiviral Screen data set.

Fachgebiet (DDC)

004 Informatik

Konferenz

2002 IEEE International Conference on Data Mining. ICDM 2002, Maebashi City, Japan

Zitieren

ISO 690

BERTHOLD, Michael R., Bernd WISWEDEL, David E. PATTERSON, 2002. Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods. 2002 IEEE International Conference on Data Mining. ICDM 2002. Maebashi City, Japan. In: 2002 IEEE International Conference on Data Mining, 2002. Proceedings.. IEEE Comput. Soc, 2002, pp. 581-584. ISBN 0-7695-1754-4. Available under: doi: 10.1109/ICDM.2002.1184004

BibTex

@inproceedings{Berthold2002Neigh-5476,
  year={2002},
  doi={10.1109/ICDM.2002.1184004},
  title={Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods},
  isbn={0-7695-1754-4},
  publisher={IEEE Comput. Soc},
  booktitle={2002 IEEE International Conference on Data Mining, 2002. Proceedings.},
  pages={581--584},
  author={Berthold, Michael R. and Wiswedel, Bernd and Patterson, David E.}
}

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