Articles with "adjustment learning" as a keyword



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Co-Adjustment Learning for Co-Clustering

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Published in 2021 at "Cognitive Computation"

DOI: 10.1007/s12559-021-09827-8

Abstract: Co-clustering simultaneously performs clustering on the sample and feature dimensions of the data matrix, so it can obtain better insight into the data than traditional clustering. Adjustment learning extracts valuable information from chunklets for unsupervised… read more here.

Keywords: clustering adjustment; framework; adjustment; adjustment learning ... See more keywords