Discrete Multi-Graph Clustering.
IEEE Transactions on Image Processing(2019)
摘要
Spectral clustering plays a significant role in applications that rely on multi-view data due to its well-defined mathematical framework and excellent performance on arbitrarily-shaped clusters. Unfortunately, directly optimizing the spectral clustering inevitably results in an NP-hard problem due to the discrete constraints on the clustering labels. Hence, conventional approaches intuitively incl...
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关键词
Clustering algorithms,Optimization,Linear programming,Partitioning algorithms,Image segmentation,Task analysis,NP-hard problem
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