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2 مستودعات

Awesome GitHub RepositoriesMultivariate Analysis

Statistical methods for analyzing two or more variables to uncover hidden structures and relationships.

Distinct from Large-Scale Matrix Factorization: Unlike matrix factorization alone, this covers the broader domain of dimensionality reduction and clustering for multivariate sets.

Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Multivariate Analysis. Refine with filters or upvote what's useful.

Awesome Multivariate Analysis GitHub Repositories

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  • uber-common/react-visالصورة الرمزية لـ uber-common

    uber-common/react-vis

    8,785عرض على GitHub↗

    react-vis is a React data visualization library and declarative charting framework used to create composable graphical representations. It provides a system for rendering complex visualizations by composing simple building blocks into larger chart structures. The library includes specialized tools for hierarchical data mapping via sunburst diagrams and tree maps, as well as flow and relationship visualization using Sankey diagrams. It also provides a multivariate data visualizer for plotting high-dimensional data through parallel coordinates, radar charts, and radial visualizations. The fram

    Enables the comparison of multiple quantitative variables using high-dimensional plotting techniques.

    JavaScript
    عرض على GitHub↗8,785
  • hosseinmoein/dataframeالصورة الرمزية لـ hosseinmoein

    hosseinmoein/DataFrame

    2,917عرض على GitHub↗

    DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f

    Provides dimensionality reduction, clustering, and matrix factorization to uncover structures in large datasets.

    C++aicppdata-analysis
    عرض على GitHub↗2,917
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