A hierarchical clustering algorithm and an improvement of the single linkage criterion to deal with noise

•This paper proposes a hierarchical clustering algorithm robust to noise.•It includes a single linkage improvement that involves local density.•It forbids the merging of representative clusters.•Performance is assessed using data with known ground truth. Hierarchical clustering is widely used in dat...

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Bibliographic Details
Published in:Expert systems with applications Vol. 128; pp. 96 - 108
Main Authors: Ros, Frédéric, Guillaume, Serge
Format: Journal Article
Language:English
Published: New York Elsevier Ltd 15.08.2019
Elsevier BV
Elsevier
Subjects:
ISSN:0957-4174, 1873-6793
Online Access:Get full text
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