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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.098
Abstract: Abstract Data often exists in subspaces embedded within a high-dimensional space. Subspace clustering seeks to group data according to the dimensions relevant to each subspace. This requires the estimation of subspaces as well as the…
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Keywords:
hub based;
high dimensional;
subspace clustering;
based subspace ... See more keywords