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Clustering: how much bias do we need?

Scientific investigations in medicine and beyond increasingly require observations to be described by more features than can be simultaneously visualized. Simply reducing the dimensionality by projections destroys essential relationships in the data. Similarly, traditional clustering algorithms intr...

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Podrobná bibliografie
Vydáno v:Philos Trans A Math Phys Eng Sci
Hlavní autoři: Lorimer, Tom, Held, Jenny, Stoop, Ruedi
Médium: Artigo
Jazyk:Inglês
Vydáno: The Royal Society Publishing 2017
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5434083/
https://ncbi.nlm.nih.gov/pubmed/28507238
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2016.0293
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