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  1. github.com › topics › standard-deviationstandard-deviation · GitHub Topics · GitHub

    📊 This repository contains a Standard Deviation Calculator implemented in C++. It provides an efficient algorithm for calculating the statistical standard deviation of a dataset, making it a valuable tool for students, researchers, and analysts seeking a reliable method for data analysis.

  2. github.com › samanthae09 › Introduction-to-Data-Signal-and-Image-Analysis-withStandard Deviation Distance - GitHub

    Saved searches Use saved searches to filter your results more quickly

  3. github.com › topics › standard-distancestandard-distance · GitHub Topics · GitHub

    Add a description, image, and links to the standard-distance topic page so that developers can more easily learn about it. Curate this topic

  4. atmamani.github.io › projects › spatialGuide to spatial analysis - spatial statistics - Atma's blog

    Similarly, for spatial datasets, the standard distance, which is the average distance by which features vary from mean center gives a measure of compactness. It is also called the standard deviation distance .

  5. www.sciencedirect.com › science › articleSFKNN-DPC: Standard deviation weighted distance based density...

    1 de ene. de 2024 · By replacing the Euclidean distance in DPC with the proposed standard deviation weighted distance while keeping other aspects unchanged, DPC-SD achieves better clustering results across the evaluated datasets.

  6. torchmetrics.readthedocs.io › en › v0Kernel Inception Distance — PyTorch-Metrics 0.8.2 documentation

    Calculates Kernel Inception Distance (KID) which is used to access the quality of generated images. Given by where is the maximum mean discrepancy and are extracted features from real and fake images, see [1] for more details.

  7. easystats.github.io › insight › referenceGet residual standard deviation from models — get_sigma

    get_sigma.Rd. Returns sigma, which corresponds the estimated standard deviation of the residuals. This function extends the sigma () base R generic for models that don't have implemented it. It also computes the confidence interval (CI), which is stored as an attribute.