estkTW: Estimate the optimal k for k-means clustering
In brickyyyy/SC3min: Minimized Single-Cell Consensus Clustering
Description
Usage
Arguments
Value
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
brickyyyy/SC3min documentation built on May 8, 2019, 8:07 a.m.
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Description Usage Arguments Value
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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