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D3K: The Dissimilarity-Density-Dynamic Radius K-means Clustering Algorithm for scRNA-Seq Data

A single-cell sequencing data set has always been a challenge for clustering because of its high dimension and multi-noise points. The traditional K-means algorithm is not suitable for this type of data. Therefore, this study proposes a Dissimilarity-Density-Dynamic Radius-K-means clustering algorit...

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Detalles Bibliográficos
Autores principales:	Liu, Guoyun, Li, Manzhi, Wang, Hongtao, Lin, Shijun, Xu, Junlin, Li, Ruixi, Tang, Min, Li, Chun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284269/ https://www.ncbi.nlm.nih.gov/pubmed/35846121 http://dx.doi.org/10.3389/fgene.2022.912711

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