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20152021
most citedDivide-and-conquer based Large-Scale Spectral Clustering

29 citations · 41 across the 5 of their papers we have counts for

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cs.LG2021★ 12 cited

LSEC: Large-scale spectral ensemble clustering

Hongmin Li, Xiucai Ye, Akira Imakura +1

Ensemble clustering is a fundamental problem in the machine learning field, combining multiple base clusterings into a better clustering result. However, most of the existing metho…

cs.LG2021★ 29 cited

Divide-and-conquer based Large-Scale Spectral Clustering

Hongmin Li, Xiucai Ye, Akira Imakura +1

Spectral clustering is one of the most popular clustering methods. However, how to balance the efficiency and effectiveness of the large-scale spectral clustering with limited comp…