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 ...

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...

For the past year, the United States has gone without its doctor. Ever since Vivek Murthy resigned as surgeon general last January, the role has remained empty despite President Trump’s attempts to ...