Polarization in the U.S. didn’t rise gradually. A new machine-learning study shows it surged after 2008- but why?
Upregulated expression of transcription factors promoting cone identity in late-stage retinal progenitors drives development ...
Between 2008 and 2020, the United States experienced a relentless increase in “Separation”—the researchers’ metric for the distance between the average opinion of the two groups. By 2024, the degree ...
Divisions within the US population on social and political issues have increased by 64% since 1988, with almost all this coming after 2008, according to a study tracking polarization from the end of ...
Almost all the rise in US polarisation over political issues since the eighties occurred from 2008 onwards, a new study suggests. Far more Americans now adopt party and ideological labels in line with ...
In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...
This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Abstract: With the development of the civil aviation industry, flight delay rates have risen rapidly. The flight delay recovery can enable the swift adjustment of plans, collaborative efforts for ...
Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...
Abstract: This paper presents an accelerated spherical Kmeans clustering algorithm for large-scale and high-dimensional sparse document data sets. We design an algorithm working in an ...
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