Large Graph Clustering With Simultaneous Spectral Embedding and Discretization
IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)
摘要
Spectral clustering methods are gaining more and more interests and successfully applied in many fields because of their superior performance. However, there still exist two main problems to be solved: 1) spectral clustering methods consist of two successive optimization stages—spectral embedding and spectral rotation, which may not lead to globally optimal solutions, 2) and it is known that spect...
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关键词
Clustering methods,Clustering algorithms,Optimization,Complexity theory,Acceleration,Optical imaging,Laplace equations
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