Publikation:

Shape-Invariant Fuzzy Clustering of Proteomics Data

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BPOHp02_FuzzyProteomics_nafips.pdf
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Datum

2002

Autor:innen

Patterson, David E.
Ortolani, Marco
Hofer, Heiko
Höppner, Frank
Callan, Ondine

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NAFIPS, pp. 52-56. Available under: doi: 10.1109/NAFIPS.2002.1018029

Zusammenfassung

In this paper we present a variant of fuzzy c-means that allows to find similar shapes in time series data in a scale-invariant fashion. We use data from protein mass spectrography to show how this approach finds areas of interest without a need for ad-hoc normalizations.

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ISO 690BERTHOLD, Michael R., David E. PATTERSON, Marco ORTOLANI, Heiko HOFER, Frank HÖPPNER, Ondine CALLAN, 2002. Shape-Invariant Fuzzy Clustering of Proteomics Data. In: NAFIPS, pp. 52-56. Available under: doi: 10.1109/NAFIPS.2002.1018029
BibTex
@article{Berthold2002Shape-5895,
  year={2002},
  doi={10.1109/NAFIPS.2002.1018029},
  title={Shape-Invariant Fuzzy Clustering of Proteomics Data},
  journal={NAFIPS},
  pages={52--56},
  author={Berthold, Michael R. and Patterson, David E. and Ortolani, Marco and Hofer, Heiko and Höppner, Frank and Callan, Ondine}
}
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