Stuart Lloyd

Stuart Lloyd is an American physicist known for inventing the k-means clustering algorithm, a method used in data analysis to partition data into meaningful groups. This technique helps organize large datasets by repeatedly assigning data points to the nearest group center and updating those centers to best represent the group. Lloyd's method is widely used in machine learning, image processing, and pattern recognition, enabling computers to identify structure and patterns efficiently within complex data. His work has significantly influenced fields that rely on data segmentation and classification, making large-scale data analysis more practical and effective.