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Author/Affiliation: Mark Hloch
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8 Pages, 578 KB Download PDF

Graph-based Clustering Algorithms – A Review on Novel Approaches

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 4, Page # 21–28, 2021; DOI: 10.25046/aj060403
Abstract:

Classical clustering algorithms often require an a-priori number of expected clusters and the presence of all documents beforehand. From practical point of view, the use of these algorithms especially in more dynamic environments dealing with growing or shrinking corpora therefore is not applicable. Within the last years, graph-based representations of knowledge such as co-occurrence graphs…

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(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Information Systems in Computer Science (CIS))

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