Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

THRO uses AI-driven, tactical theme rotation focused on large-cap U.S. equities, currently overweighting technology. Read ...

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Mr. Means, who co-founded a wellness company, has emerged as one of the most prominent voices in the Make America Healthy Again movement. By Dani Blum Calley Means, a health care entrepreneur and key ...

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 proposes an improved K-means clustering algorithm based on density-weighted Canopy to address the efficiency bottlenecks and clustering accuracy issues commonly encountered by ...

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 ...

Abstract: In $k$-means clustering, the selection of initial seeds significantly influences the quality of the resulting clusters. Moreover, clustering large-sized ...