M. Berthold, D. E. Patterson, M. Ortolani, H. Hofer, F. Hoppner, O. Callan
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Shape-invariant fuzzy clustering of proteomics data
We present a variant of fuzzy c-means that allows us 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.