EfficientClusteringBasedOnAUnifiedViewOf K-meansAndRatio-cut

Neural Information Processing Systems 

Inspite ofitsgood (promising) performance, ratio-cut and other traditional spectral clustering methods (SC) suffer from the following drawbacks: (1) The timecomplexityoftraditional spectral clustering isO(n2c),which isoneofsignificant drawbacks of SC. Much effort has been devoted to accelerate the process.

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