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The ClusterMX program implements various clustering algorithms
The ClusterMX program implements various clustering algorithms including 1) K-Means clustering optimized by random walks; 2) Weighted K-Means (applying force filed to the multidimensional clustering space); 3) EM ClusteringAlgorithm; 4) Multi-Model Mean Shift Clustering with Random Sampling; 5) Unsupervised K-Wishart clustering.
VneCplus是一个虚拟网络映射的仿真器框架,其中实现了NC_DSBA算法,极大地提高了虚拟网络的映射性能。
NC_DSBA(Nodes Clustering and Dynamic Service Balance Awareness Algorithm)虚拟网络映射算法采用节点聚类的策略将虚拟网络请求分割为规模较小的子请求,分而治之,极大地降低了计算复杂度。采用PageRank计算每个节点的负载均衡能力和需求,从而使得虚拟网络请求的映射更趋于均衡,显著提高了虚拟网络映射的收益开销比和承载能力。
A collection of algorithms based on the topology preserving Neural Gas algorithm for density estimation/quantization/clustering/self-organized learning.
I moved this project to GitHub: https://github.com/sergioroa/neuralgas
EToS (Efficient Technology of Spike sorting; Extracellular recording To Spike trains) is an open-source system for spike sorting. EToS contains the programs of spike detection, feature extraction and clustering.
Ensure the availability of your data with coverage across AWS, Azure, and GCP on MongoDB Atlas—the multi-cloud database for every enterprise.
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Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...