Principal Component Analysis (PCA)
(This analogy is implicit in the description of "the magic tool called the Spectrum Classifier" as helping to analyze light from far-away stars and galaxies.)
Technical definition
A dimensionality reduction technique used to identify patterns in large datasets by transforming correlated variables into a smaller set of uncorrelated "principal components".