[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.

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 ...

Background: Prostate cancer is the most common male malignancy. Current diagnostic methods using single TPSA and PHI lack specificity. Some researches have created nomograms for predicting risk, but ...

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 ...