首页|Findings from Chongqing University of Posts and Telecommunications Has Provided New Data on Intelligent Systems (Multiconstraint Non-negative Matrix Factorizat ion for Community Detection: Orthogonal Regular Sparse Constraint Non-negative . ..)
Findings from Chongqing University of Posts and Telecommunications Has Provided New Data on Intelligent Systems (Multiconstraint Non-negative Matrix Factorizat ion for Community Detection: Orthogonal Regular Sparse Constraint Non-negative . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning - Intelligent Sys tems is now available. According to newsreporting out of Chongqing, People’s Re public of China, by NewsRx editors, research stated, “Communitydetection is an important method to analyze the characteristics and structure of community netwo rks,which can excavate the potential links between nodes and further discover s ubgroups from complexnetworks. However, most of the existing methods only unila terally consider the direct link topologywithout comprehensively considering th e internal and external characteristics of the community as wellas the result i tself, which fails to maximize the access to the network information, thus affec ting theeffectiveness of community detection.”
ChongqingPeople’s Republic of ChinaA siaIntelligent SystemsMachine LearningAlgorithmsChongqing University of Posts and Telecommunications
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