Abstract: With the popularity of Internet of Things (IoT) devices (IDs), blockchain networks provide computing, communication and caching functions for IDs by sinking cloud services to fog nodes (FNs) ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
The US economy is looking increasingly bifurcated—a phenomenon analysts describe as a “K shape.” Higher-income households have seen their wealth and confidence surge thanks to strong stock market ...
In April of 2023, when I was fresh out of a Ph.D. program in philosophy, I was hired as the nonfiction critic at the newly revived books section of the Washington Post. The shock to my system was ...
Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
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 ...
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