Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...

Abstract: In a multi-source localization system, direction of arrival (DOA) estimation of angles always suffers from errors due to noise interference, sensor position inaccuracies, and other factors.

To many experts, the U.S. economy is looking increasingly "K-shaped," with bifurcation between growth and wealth in its upper echelons as lower-income households continue on a downward path that could ...