Articles with "embedded data" as a keyword



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Fast adaptive neighbors clustering via embedded clustering

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.02.087

Abstract: Abstract Recently, spectral clustering (SC) has been gaining more and more attention due to its excellent performance in unsupervised learning. However, the computational complexity of the SC is high. Also, the adjacency graph matrix of… read more here.

Keywords: graph embedded; embedded data; fast adaptive; raw data ... See more keywords