Large Graph Clustering With Simultaneous Spectral Embedding and Discretization

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)

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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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