I'm reading over a report, and have come to a the section on how data was analyzed. There were 26 different features measured at each datapoint, and the author says
If a pair of correlated features were identified, the feature that was most correlated with the remaining features was eliminated, leaving 17 features
Does this mean that if two different features were shown to be correlated to a certain extent, they didn't consider the one most correlated with the rest of the data? How does this help?