Distance-based clustering challenges for unbiased benchmarking studies

Abstract 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 clust...

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Autor principal: Michael C. Thrun
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/80c3566d0abb42cbb16bd430d6a3c752
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