The k-Nearest Neighbors (k-NN) algorithm is a simple, yet powerful machine learning technique used for classification and regression tasks. In the context of cancer, k-NN can help in diagnosing and predicting cancer by analyzing patient data and comparing it to known cases. The algorithm works by identifying the 'k' closest data points (neighbors) to a given point and making predictions based on the majority class among those neighbors.
