Showing 4 open source projects for "statistical graph"

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  • 1
    Parallel and Distributed Process System

    Parallel and Distributed Process System

    OmniSim simulates parallel and distributed processing systems

    Parallel and Distributed Process OmniSim Computational Neuroscience: Large-scale neural population dynamics, brain-inspired computing architectures, and neuro-symbolic AI systems 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for...
    Downloads: 1 This Week
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  • 2

    Glove

    Data analysis tool

    Glove provides an interface to data acquisition systems, sophisticated (and correct) statistical analysis, a plotting tool, and the ability to easily manipulate the data. Its modular design allows plug-ins for acquisition, manipulation, and analysis. ChangeLog: http://glove.sourceforge.net/ChangeLog.html
    Downloads: 0 This Week
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  • 3
    Graphixy - Image Data Extraction

    Graphixy - Image Data Extraction

    Scientific, Engineering and Statistical Graphing data extraction tool

    Graphixy is a freeware and lighter (140 KB) standalone program designed to get 'x' and 'y' graphical co-ordinates of an image in scientific, engineering & statistical applications and in image data processing. By drawing an image (or) hovering mouse over the pre-loaded image (using Load option), the 'x' and 'y' co-ordinates can be recorded and saved as notepad .txt file The saved data can be exported to Excel spreadsheet and viewed in graph format. Drawn images can be replayed from the recorded notepad (.txt) data file. ...
    Downloads: 4 This Week
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  • 4

    Chordalysis

    Log-linear analysis (data modelling) for high-dimensional data

    ===== Project moved to https://github.com/fpetitjean/Chordalysis ===== Log-linear analysis is the statistical method used to capture multi-way relationships between variables. However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures, also known as chordal graphs. ...
    Downloads: 0 This Week
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