Voronoi Diagrams in Machine Learning

Voronoi diagrams are a way to divide space into regions based on proximity to specific points called "sites." In machine learning, they help in tasks like classification, where each site represents a data point with a known label. The diagram assigns every location in space to the nearest site, effectively partitioning the area into zones. For example, in a 1-nearest neighbor classifier, a new data point is classified based on the label of the closest site in the diagram. This method visually and intuitively demonstrates how data points influence the classification of nearby regions.