Abstract: The technique known as K-Means is used in this study to optimize patient clustering for health care information analysis. Adopting an interpretivist mindset, a deductive method is utilized ...

The Cleveland Guardians faced an early exit from the postseason, losing to the Detroit Tigers in just three games during the wild-card round. Cleveland's difficulties in the postseason were primarily ...

Man in suit dropping ceremonial bitcoin into a piggy bank. When BlackRock CEO Larry Fink calls something “the domain of money launderers and thieves,” market experts pay attention. So, on Sunday, ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

Shane Beamer made the decision to move on from offensive line coach Lonnie Teasley on Sunday. What is next for the Gamecocks at that position? Sep 27, 2025; Columbia, South Carolina, USA; South ...

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 ...