Abstract: Clustering is a significant technique in data mining, which can uncover the hidden correlation information and obtain deeper understanding of the inherent structure of data. However, when ...

The first Trump administration defended cluster munitions as “legitimate,” but on Monday, Adm. Brad Cooper condemned them as “inherently indiscriminate.” By John Ismay Reporting from Washington In a ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...

We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social ...

Abstract: Aiming at the shortcomings caused by the limitations of a single clustering method in the existing differential privacy protection clustering algorithm research, an ensemble clustering ...

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