Articles with "clustering feature" as a keyword



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An overview of the history of Science of Science in China based on the use of bibliographic and citation data: a new method of analysis based on clustering with feature maximization and contrast graphs

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Published in 2020 at "Scientometrics"

DOI: 10.1007/s11192-020-03503-8

Abstract: In the first part of this paper, we shall discuss the historical context of Science of Science both in China and at world level. In the second part, we use the unsupervised combination of GNG… read more here.

Keywords: science china; science; analysis; science science ... See more keywords
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On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses.

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Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3166975

Abstract: Clusters in real data are often restricted to low-dimensional subspaces rather than the entire feature space. Recent approaches to circumvent this difficulty are often computationally inefficient and lack theoretical justification in terms of their large-sample… read more here.

Keywords: consistent entropy; feature; clustering feature; entropy regularized ... See more keywords