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Published online by Cambridge University Press: 08 February 2017
We have tested the performance of principal components analysis and a single-pass clustering algorithm to identify different components of the cosmic dust. Applying these techniques on a training set of 2500 points extracted from the PL51 IRAS maps we recognized two main components with temperatures of 180 K and 28 K.