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 ...
In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...
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, ...
ABSTRACT: We present the complete methodology to propose an efficient electrothermal model of the Silicon Carbide (SiC) Metal Oxide Semiconductor Field Effect Transistor (MOSFET), largely used in high ...
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