estkTW: Estimate the optimal k for k-means clustering
In hemberg-lab/SC3: Single-Cell Consensus Clustering
Description
Usage
Arguments
Value
View source: R/CoreFunctions.R
Description
The function finds the eigenvalues of the sample covariance matrix.
It will then return the number of significant eigenvalues according to
the Tracy-Widom test.
Usage
1
estkTW(dataset)
Arguments
dataset
processed input expression matrix.
Value
an estimated number of clusters k
hemberg-lab/SC3 documentation built on Dec. 18, 2019, 10:02 p.m.
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Description Usage Arguments Value
View source: R/CoreFunctions.R
Description
The function finds the eigenvalues of the sample covariance matrix. It will then return the number of significant eigenvalues according to the Tracy-Widom test.
Usage
1 | estkTW(dataset)
|
Arguments
dataset |
processed input expression matrix. |
Value
an estimated number of clusters k
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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