Abstract: K-means clustering is a widely used unsupervised learning algorithm for partitioning data into distinct clusters. However, the performance of k-means heavily depends on the initial cluster ...
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 ...
John Means finished second in the AL Rookie of the Year voting in 2019 but has had poor luck with injuries since 2022. Mitchell Layton / Getty Images John Means can’t seem to catch a break. The lefty ...
What started as a term to describe the pandemic recovery has become a catchall in these anxious economic times. By Lora Kelley Holiday spending this year is expected to surpass $1 trillion for the ...
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