Showing 6 open source projects for "link"

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  • 1
    Digraph3

    Digraph3

    A collection of python3 modules for Algorithmic Decision Theory

    This collection of Python3 modules provides a large range of implemented decision aiding algorithms useful in the field of outranking digraphs based Multiple Criteria Decision Aid (MCDA), especially best choice, linear ranking and absolute or relative rating algorithms with multiple incommensurable criteria. Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs, outranking digraphs and performance tableaux. There is also a tutorial provided on undirected graphs. Some tutorials are problem oriented and show how to compute the winner of an election, how to build a best choice recommendation, or how to linearly rank or rate with multiple incommensurable performance criteria. ...
    Downloads: 6 This Week
    Last Update:
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  • 2
    SourceAFIS

    SourceAFIS

    Fingerprint recognition library (.NET port)

    ...It can compare two fingerprints 1:1 or search a large database for matching fingerprint. It takes raw fingerprint images on input and produces matching score on output. Click the website link above for more info.
    Downloads: 0 This Week
    Last Update:
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  • 3

    Linking AnalyzerTask for iQser GIN

    niPRO AnalyzerTask to calculate link popularity

    AnalyzerTask to calculate the link popularity (SIN LP) for ContentObjects integrated into the iQser GinServer. Developed by niPRO-Project.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Data Structure & Algorithm Library(DSAL)
    The Data Structure & Algorithm Library (DSAL) is a library of classical data structure and algorithm.
    Downloads: 0 This Week
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  • 5
    This project has moved. Please follow the WWW link below.
    Downloads: 4 This Week
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  • 6
    brCluster is a class library, written in java, that implements generic clustering algorithms carefully designed to allow its aplication in any kind of data. The algorithms implemented are K-means and Hierarchical Clustering (Simple and Complete Link).
    Downloads: 0 This Week
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