Finding clusters in parallel universes

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Finding_clusters_in_parallel_universes.pdf
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2001
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Patterson, David
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2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236). IEEE, 2001, pp. 123-128. ISBN 0-7803-7087-2. Available under: doi: 10.1109/ICSMC.2001.969799
Zusammenfassung

Many clustering algorithms have been proposed in recent years. Most methods operate in an iterative manner and aim to optimize a specific energy function. We present an algorithm that directly finds a set of cluster centers based on an analysis of the distribution of patterns in the local neighborhood of each potential duster center through the use of so-called Neighborgrams. In addition this analysis can be carried out in several feature spaces in parallel, effectively finding the optimal set of features for each duster independently. We demonstrate how the algorithm works on an artificial data set and show its usefulness using a well-known benchmark data set.

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004 Informatik
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Clustering, multiple feature space, neighborgrams
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IEEE International Conference on Systems, Man & Cybernetics, Tucson, AZ, USA
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Zitieren
ISO 690PATTERSON, David, Michael R. BERTHOLD, 2001. Finding clusters in parallel universes. IEEE International Conference on Systems, Man & Cybernetics. Tucson, AZ, USA. In: 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236). IEEE, 2001, pp. 123-128. ISBN 0-7803-7087-2. Available under: doi: 10.1109/ICSMC.2001.969799
BibTex
@inproceedings{Patterson2001Findi-5495,
  year={2001},
  doi={10.1109/ICSMC.2001.969799},
  title={Finding clusters in parallel universes},
  isbn={0-7803-7087-2},
  publisher={IEEE},
  booktitle={2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236)},
  pages={123--128},
  author={Patterson, David and Berthold, Michael R.}
}
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