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".

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