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: This study investigates the application of K-means and K-Medoids clustering algorithms to local earthquake data from Geopark Toba, a region prone to significant seismic activity due to its ...
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