Distance-based clustering challenges for unbiased benchmarking studies
Benchmark datasets with predefined cluster structures and high-dimensional biomedical datasets outline the challenges of cluster analysis: clustering algorithms are limited in their clustering ability in the presence of clusters defining distance-based structures resulting in a biased clustering sol...
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| Published in: | Scientific reports Vol. 11; no. 1; pp. 18988 - 12 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Nature Publishing Group UK
23.09.2021
Nature Publishing Group Nature Portfolio |
| Subjects: | |
| ISSN: | 2045-2322, 2045-2322 |
| Online Access: | Get full text |
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