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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 ...

The injuries continue for John Means. Means, 32, suffered a ruptured Achilles during a workout this week, he announced on social media Thursday. The left-handed pitcher said he underwent successful ...

There aren’t many fan bases quite as dedicated as Costco’s, so it makes sense that loyal shoppers have cracked the store’s codes over the years—specifically, those involving their pricing and ...