Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans)

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 negatively...

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Detalles Bibliográficos
Autores principales: Ultsch, Alfred, Lötsch, Jörn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202178/
https://www.ncbi.nlm.nih.gov/pubmed/35710346
http://dx.doi.org/10.1186/s12859-022-04769-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202178/
https://www.ncbi.nlm.nih.gov/pubmed/35710346
http://dx.doi.org/10.1186/s12859-022-04769-w

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