K-Nearest Neighbors Algorithm

The K-Nearest Neighbors (KNN) algorithm is a simple method for classifying or predicting data based on similarity. When given a new data point, KNN looks at the 'k' closest points in the existing dataset, determined by measuring their distance (like how close they are geographically). It then assigns the new point to the category most common among those neighbors. It’s like asking neighbors for their opinion before making a decision, relying on the idea that similar items tend to be grouped together. KNN is easy to understand and useful for problems where similar data points share labels.