kmeans2: kmeans2
In gongx030/DrImpute: Imputing Dropout Events in Single-Cell RNA-Sequencing Data
Description
Usage
Arguments
References
Description
Mini-batch k-means
Usage
1
kmeans2(x, centers, batch.size = 10000, iter.max = 1e+09)
Arguments
x
An input matrix
centers
Number of centers
batch.size
Batch size
iter.max
Maximum iterations
References
Il-Youp Kwak, Wuming Gong, Kaoko Koyano-Nakagawa and Daniel J. Garry (2017+)
DrImpute: Imputing dropout eveents in single cell RNA sequencing data
D. Schully (2010)
Web-scale k-means clustering
gongx030/DrImpute documentation built on Dec. 10, 2020, 6:23 p.m.
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Description Usage Arguments References
Description
Mini-batch k-means
Usage
1 | kmeans2(x, centers, batch.size = 10000, iter.max = 1e+09)
|
Arguments
x |
An input matrix |
centers |
Number of centers |
batch.size |
Batch size |
iter.max |
Maximum iterations |
References
Il-Youp Kwak, Wuming Gong, Kaoko Koyano-Nakagawa and Daniel J. Garry (2017+) DrImpute: Imputing dropout eveents in single cell RNA sequencing data
D. Schully (2010) Web-scale k-means clustering
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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