ℓ1/2-based Penalized Clustering with Half Thresholding Algorithm
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DOI: 10.1016/j.neucom.2020.01.058
Abstract: Abstract Clustering is a widely applied method in data analysis. As a novel framework of clustering analysis, penalized clustering bases itself on the sparsity of solution, which contributes to its ability of determining the best… read more here.
Keywords: clustering half; based penalized; penalized clustering; half thresholding ... See more keywords