When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

J. Nathan Matias is an assistant professor at the Department of Communication, Cornell University, Ithaca, New York, USA, and a 2022–23 fellow at the Center for Advanced Study in the Behavioral ...