Abstract: The large-scale, high-dimensionality of datasets poses major obstacles to effective and precise data clustering in the field of big data analytics. This work focuses on a well-known ...
AI content creation has exploded, creating a wave of auto-generated videos, scripts, and shows that compete with traditional programming. Live TV still holds power in news and sports, but audiences ...
cellUview is alternative software that runs on an OpenFlexure 3D-printed microscope. Images are enhanced in real-time by changing exposure, contrast, edge enhancement, dilation, contrast and k-means ...
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, ...
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