• Media type: Text; E-Article
  • Title: Shape-Invariant Fuzzy Clustering of Proteomics Data
  • Contributor: Berthold, Michael R. [Author]; Patterson, David E. [Author]; Ortolani, Marco [Author]; Hofer, Heiko [Author]; Höppner, Frank [Author]; Callan, Ondine [Author]
  • imprint: KOPS - The Institutional Repository of the University of Konstanz, 2002
  • Published in: NAFIPS, pp. 52-56. Available under: doi:10.1109/NAFIPS.2002.1018029
  • Language: English
  • DOI: https://doi.org/10.1109/NAFIPS.2002.1018029
  • Origination:
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  • Description: 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. ; published
  • Access State: Open Access
  • Rights information: Attribution - Non Commercial - No Derivs (CC BY-NC-ND)