Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Authors:
Michael R. Berthold;Bernd Wiswedel;David E. Patterson
Affiliations:
-;-;-
Venue:
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Year:
2002

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Abstract

We describe an interactive way to generate a set of clustersfor a given data set. The clustering is done by constructinglocal histograms, which can then be used to visualize,select, and fine-tune potential cluster candidates.The accompanying algorithmcan also generate clusters automatically,allowing for an automatic or semi-automaticclustering process where the user only occasionally interactswith the algorithm. We illustrate the ability to automaticallyidentify and visualize clusters using NCI's AIDSAntiviral Screen data set.