Supervised learning partitions

Two types of pattern recognition technique " have been applied to spectrum interpretation. Supervised methods (see Supervised Learning) are limited to one or more predefined structural classes and require representative training sets for each to develop the classifier. Unsupervised methods (see Unsupervised Learning) partition a set of spectra into clusters with common structural features on the basis of spectral features alone. No predefined classes are required. 

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