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Nuclear Magnetic Resonance Spectroscopyis a technique for the analysis of complex biochemical materials. Thereby the identification of known sub-patterns is important. These measurements require an accurate preprocessing and analysis to meet clinical standards. Here we present a method for an appropriate sparse encoding of NMRspectral data combined with a fuzzy classification system allowing the identification of sub-patterns including mixtures thereof. The method is evaluated in contrast to an alternative approach using simulated metabolic spectra.