Discretization algorithms play a crucial role in data mining and machine learning by transforming continuous data into discrete categories. This process is essential for many classification ...

You can use various techniques, such as scaling, binning, discretization, or feature selection, to transform your data. You should also consider the assumptions and requirements of your algorithm ...

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Here, we provide an introduction to the required computational analysis of SMLM imaging, post-processing and typical data analysis ... localization binning in sub-pixel bins, but additionally, ...

The FT’s team of reporters, statisticians, illustrators, cartographers, designers, and developers work with colleagues across our newsrooms, using graphics and data to find, investigate and ...

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ReYOLOv8 incorporates a low-latency, memory-efficient method for encoding event data called Volume of Ternary Event Images (VTEI) and introduces a novel data augmentation technique based on Random ...