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Abstract: K-means clustering is a popular unsupervised machine learning method widely used in various applications, such as data mining, image processing, and social sciences. However, clustering can ...

Predicting the future isn't easy. Back in 2000, who would have thought that by 2025 the Pawtucket Red Sox would no longer exist, or Rhode Island's first female governor would be telling people to ...

U.S. Rep. Elise Stefanik, Republican candidate running to unseat New York Gov. Kathy Hochul, a Democrat, announced she is pulling out of the race and will not seek reelection for her congressional ...

Abstract: The traditional K-means algorithm often leads to unstable clustering quality due to the randomness of the initial clustering center selection and tends to fall into suboptimal solutions when ...