Researchers discovered a way to extract principal features from big data sets, reports Texas A & M Today.

Whenever a scientific experiment is conducted, the results are turned into numbers, often producing huge datasets. In order to reduce the size of the data, computer programmers use algorithms that can find and extract the principal features that represent the most salient statistical properties.