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首页> 外文期刊>Robotics & Machine Learning Daily News >New Applied Intelligence Findings Reported from Southwest University of Science and Technology (Joint Learning Affinity Matrix and Representation Matrix for Robust Low-rank Multi-kernel Clustering)
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New Applied Intelligence Findings Reported from Southwest University of Science and Technology (Joint Learning Affinity Matrix and Representation Matrix for Robust Low-rank Multi-kernel Clustering)

机译:New Applied Intelligence Findings Reported from Southwest University of Science and Technology (Joint Learning Affinity Matrix and Representation Matrix for Robust Low-rank Multi-kernel Clustering)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Applied Intelligence. According to news originatingfrom Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “Multi-kernelsubspace clustering has attracted widespread attention, because it can process nonlinear data effectively. Itusually solves the representation coefficient between data by the subspace clustering optimization model,and then the constructed affinity matrix is input into the spectral clustering method to get the finalclustering result.”

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