DBSCAN is a well-known density based clustering algorithm capable of discovering arbitrary shaped clusters and eliminating noise data. However, parallelization of DBSCAN is challenging as it exhibits ...

Abstract: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) has been recognized as a powerful clustering algorithm for detecting non-linearly separable clusters but has faced ...

Abstract: Radar is an emerging and attractive sensing modality for automotive applications due to its relatively low cost, robustness in the face of inclement weather, and ability to detect both ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...

Insights from data and ML algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent high-profile AI blunders illustrate the damage done when things don’t go according to ...