[2] The seeding algorithms for spherical k-means clustering. Journal of Global Optimization (2019). [3] A 1.488 approximation algorithm for the uncapacitated facility location problem.

He uses density-based clustering algorithms like DBSCAN to find clusters of high-density data points within noisy datasets. His work is not just about processing data; it’s about uncovering the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Researchers have launched a new open-source MATLAB toolbox that generates synthetic networks with built-in vital nodes, providing a standardized benchmark for accurate influential-node detection in ...