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A simple and fast analysis method to sort large data sets into groups with shared distinguishing characteristics is described, and applied to single molecular break junction conductance versus electrode displacement data. The method, based on principal component analysis, successfully sorted data sets based on the projection of the data onto the first or second principal component of the correlation matrix without the need to assert any specific hypothesis about the expected features within thedoi:10.1103/physrevlett.120.016601 pmid:29350952 fatcat:cy3su5nktne4nintt3cyaydrxy