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 ...
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: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
Abstract: The projected clustering (PROCLUS) algorithm is a subspace clustering algorithm based on the k-medoids clustering approach. It is designed to address the challenges of irrelevant received ...
Abstract: The palette mode is a specialized coding tool for coding screen content video in Alliance for Open Media Video 1 (AV1), and K-means clustering is a necessary step in the palette mode.
1 Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea 2 Department of Applied Statistics, Yonsei University, Seoul, Republic of Korea Clustering is a fundamental ...
ABSTRACT: Agriculture in West Africa faces multiple challenges, such as climate variability, soil degradation, and limited access to reliable agroecological information for agricultural planning. In ...
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