Abstract: Hierarchical clustering is a method in data mining and statistics used to build a hierarchy of clusters. Traditional hierarchical clustering relies on a measure of dissimilarity to combine ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clustering techniques are consolidated as a powerful strategy for analyzing the ...
Social media algorithms are complex sets of rules and calculations used by social media platforms to prioritize content in users’ feeds. They are like the invisible puppeteers behind the scenes, ...
About every 10 minutes, it seems, a new article about a "revolutionary breakthrough" in AI hits my screen. A new approach, a new feature, billions of dollars this, AI agents that. It has been non-stop ...
Abstract: Long-Range Wide Area Network (LoRaWAN) has become a promising communication method for the Internet of Things (IoT) system since it is capable of long-range communication with low power ...
ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
1 Facultad de Ingeniería, Universidad Andres Bello, Santiago, Chile. 2 Department of Mining Engineering, Universidad de Chile, Santiago, Chile. 3 Advanced Mining Technology Center, Universidad de ...
The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...
Artificial Intelligence (AI) has revolutionized numerous industries, from healthcare to finance. It empowers machines to learn from data, make intelligent decisions, and solve complex problems. Let’s ...
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