Which method is employed to enhance the performance of algorithms by reducing irrelevant data?

The method that enhances the performance of algorithms by reducing irrelevant data is optimization. Optimization refers to the process of making an algorithm as efficient as possible, which often involves removing unnecessary steps or data that do not contribute to the end result. By eliminating this irrelevant data, an algorithm can process information faster and with fewer resources, ultimately improving performance. It may also involve refining algorithms for better resource utilization, which is crucial in handling large datasets or executing complex computations.

Other methods mentioned, such as filtration, trimming, and simplification, may touch on aspects of handling data but do not specifically address the systematic approach of optimizing an algorithm for better performance through the reduction of irrelevant data. Thus, optimization is the most appropriate term for this context.