Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...

A Florida man was hit with federal charges this week after he allegedly stole $7,000 in scratch-off lottery tickets from a convenience store, then returned to the scene of the crime mere hours later ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...

Abstract: An enhanced codebook generation approach based only on precoding matrix indicator (PMI) feedback information is proposed. By utilizing the kernel density estimation (KDE) to produce ...