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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| Published in: | Expert systems with applications Vol. 128; pp. 96 - 108 |
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| Main Authors: | , |
| 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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