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Navigating Three-Dimensional Data Complexity
This chapter explores the intricacies of analyzing three-dimensional data across various fields, including physical sciences and medical imaging. It emphasizes the significance of geometric properties in diagnostics and the interplay between continuous mathematical concepts and discrete datasets. Highlighting methods like diffusion maps and persistent homology, the discussion advocates for an integrated approach to understanding geometry in data analysis.