Voronoi Diagram

Voronoi diagrams are geometric structures partitioning space based on proximity to a set of points, offering a powerful tool for various applications. Current research focuses on extending Voronoi diagrams' capabilities, including integrating them with neural networks for efficient scene representation and exploration in robotics and 3D modeling, and employing them in advanced algorithms for outlier-robust principal component analysis and class-incremental learning. These advancements demonstrate the versatility of Voronoi diagrams in addressing complex problems across diverse fields, from autonomous navigation and efficient data analysis to improved machine learning models.