The Fix-Hodges method 📊 is a precursor to k-NN 🤖, introducing localized, non-parametric density estimation by adapting interval sizes around points. This inspired k-NN's key idea: using neighborhoods defined by the nearest k points 🔍 for classification or regression, shaping modern ML methods.
