首页|Reports Outline Computational Intelligence Study Findings from Guangdong Polytec hnical Normal University (Collaborative Embedding Learning Via Tensor Integratio n for Multi-view Clustering)
Reports Outline Computational Intelligence Study Findings from Guangdong Polytec hnical Normal University (Collaborative Embedding Learning Via Tensor Integratio n for Multi-view Clustering)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Computational Intelligence are discussed in a new report. According to news re porting originating from Guangzhou, People’s Republic of China, by NewsRx corres pondents, research stated, “Multi-view clustering exploits the complementary inf ormation of different views for comprehensive data analysis. Recently, graph lea rning techniques with low-dimensional embedding have been developed to learn con sensus affinity graph for multi-view clustering.” Financial support for this research came from National Key Research and Developm ent Program of China.
GuangzhouPeople’s Republic of ChinaA siaComputational IntelligenceEmerging TechnologiesGraph LearningMachine LearningGuangdong Polytechnical Normal University