Shape-Invariant Fuzzy Clustering of Proteomics Data

present a variant of fuzzy c-means 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 nomalizations. 

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