Principal component analysis
From Freephile Wiki
wikipedia:Principal component analysis (PCA) 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
