Showing 3 open source projects for "clustering algorithm"

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    Machine Learning Octave

    Machine Learning Octave

    MatLab/Octave examples of popular machine learning algorithms

    This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on mathematical steps. The repository includes clustering, regression, classification, neural networks, anomaly detection, and other standard ML topics. Does not rely heavily on specialized toolboxes or library shortcuts.
    Downloads: 5 This Week
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  • 2
    This Project implements the mergesort algorithm in a MPICH2 (parallel programming -) environment.
    Downloads: 0 This Week
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  • 3
    distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
    Downloads: 0 This Week
    Last Update:
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