Showing 4 open source projects for "factor analysis"

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  • 1
    AtteStat

    AtteStat

    The package for statistical data analysis and applied mathematics

    Less means - more power. AtteStat is an add-in for desktop versions of the Microsoft Excel. Winner of contest Microsoft Office Extensions (PC Magazine RE) in 2006. Registered 2002-05-23 with the Federal Service for Intellectual Property. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU...
    Downloads: 17 This Week
    Last Update:
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  • 2
    Criterial

    Criterial

    The package for statistical data analysis and applied mathematics

    Putting truth before show-off. Criterial is an add-in for desktop versions of LibreOffice Calc (and forks) for statistical data analysis. The project is built on the refined expertise and core concepts of the AtteStat and StatAnt projects. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU...
    Downloads: 7 This Week
    Last Update:
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  • 3
    StatAnt

    StatAnt

    The package for statistical data analysis

    Aspire to perfection. StatAnt is a standalone cross-platform application for statistical data analysis. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU RESIDENTS: This software is NOT compliant with EU regulations, including GDPR and the AI Act. It is not intended for use within the...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Modular toolkit for Data Processing MDP
    ...The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
    Downloads: 2 This Week
    Last Update:
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