Principal component analysis

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wikipedia:Principal component analysis has applications in many fields such as population genetics, microbiome studies, and atmospheric science. It is a methodology to take a wide range of data and reduce it to be able to describe or visualize the data more easily without losing too much accuracy.

This video explains it

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