mbkmeans

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K-means clustering for large single-cell datasets

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# mbkmeans: Mini-batch k-means clustering for single-cell RNA-seq

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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.](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008625)

## 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")
```

mbkmeans

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