K-Nearest Neighbors Pattern Recognition Method

The K-Nearest Neighbors (KNN) algorithm can be utilized for both classification and regression tasks. By identifying k nearest neighbors of a sample and assigning the average of their attributes to that sample, we can predict the sample's properties. A more sophisticated approach involves assigning different weights to neighbors based on their distance, such as making weights proportional to distance, which improves prediction accuracy through weighted averaging.