In late 2025, investors filed a securities fraud class action against Stride, Inc. alleging misleading statements about its products, services, and enrollment figures, including claims of inflated ...
Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
BEIJING, Oct. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, they announced the ...
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 ...
Inflation is up and job creation down, but the U.S. economy could still pull through without too much pain. By Lydia DePillis At the moment, the American economy feels a little bit like a hot August ...
In this task we can identify the type and behaviour of the customer and acccording to that we can target them for sales. K-means clustering and K-nearest neighbour have been used for the execution of ...
Background: Despite extensive efforts to pinpoint singular biomechanical risk factors for anterior cruciate ligament (ACL) injuries, research findings are still inconclusive. By combining multiple ...
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 ...
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 ...
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