Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans)
Abstract Background Data transformations are commonly used in bioinformatics data processing in the context of data projection and clustering. The most used Euclidean metric is not scale invariant and therefore occasionally inappropriate for complex, e.g., multimodal distributed variables and may ne...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2022-06-01
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| Series: | BMC Bioinformatics |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s12859-022-04769-w |
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