A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Abstract: To deal with the curse of dimensionality in hyperspectral images, numerous feature dimensionality reduction (FDR) methods have been proposed to map high-dimensional data into a ...
Abstract: The swift evolution of artificial intelligence and big data has dramatically increased data volume and computational complexity, thereby considerably escalating data storage and processing ...
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