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# mbkmeans: Mini-batch k-means clustering for single-cell RNA-seq [![Project Status: Active - The project has reached a stable, usable state and is being actively developed.](]( [![BioC release](]( [![BioC devel](]( [![R-CMD-check](]( This package implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation. The method is described in details in the paper: [S. Hicks, R. Liu, Y. Ni, E. Purdom, D. Risso (2021). mbkmeans: Fast clustering for single cell data using mini-batch k-means. PLOS Computational Biology.]( ## Installation In virtually all cases, installing from Bioconductor is recommended. ```{r} if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("mbkmeans") ``` In the rare event you need the development version from GitHub, use the following. ```{r} library(devtools) BiocManager::install("drisso/mbkmeans") ```