17 citations · 38 across the 9 of their papers we have counts for
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stat.ML2013
Spectral Clustering with Imbalanced Data
Jing Qian, Venkatesh Saligrama
Spectral clustering is sensitive to how graphs are constructed from data particularly when proximal and imbalanced clusters are present. We show that Ratio-Cut (RCut) or normalized…
stat.ML2013
Spectral Clustering with Unbalanced Data
Jing Qian, Venkatesh Saligrama
Spectral clustering (SC) and graph-based semi-supervised learning (SSL) algorithms are sensitive to how graphs are constructed from data. In particular if the data has proximal and…