Showing 4 open source projects for "algorithm code writer"

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  • 1
    Density-ratio based clustering

    Density-ratio based clustering

    Discovering clusters with varying densities

    This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. ...
    Downloads: 0 This Week
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  • 2

    ooPorter

    A Porter stemming or stemmer algorithm coded in ooRexx

    This is an ooRexx line-by-line port from Ansi-C to ooRexx of the stemming routine published by Martin Porter 1980. The original source code from Porter has been commented out and emulated by the corresponding (oo)Rexx code as far as possible. This is not an example of good or fast (oo)Rexx programming, it is merely a demonstration of the Porter stemming routine ported to ooRexx, use and modify as necessary. Input to the program is a textfile with words to be stemmed, one per line....
    Downloads: 0 This Week
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  • 3
    iScore measures the interestingness of news articles in a limited user environment. It is an online learning algorithm that combines a large set of disparate features to classify documents. To download the source code, please use subversion.
    Downloads: 0 This Week
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  • 4
    MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
    Downloads: 7 This Week
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    Maximize your sales performance on the go.

    Bring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
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