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: Fruit recognition and grading are essential steps in fruit quality screening. In this research, a novel approach that combines the power of Canny edge detection and K-means clustering ...
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