spectral.eigenvectors: get a set of k eigenvectors for the laplacian of x
In donelsonsmith/umap_R: Uniform Manifold Approximation and Projection
Description
Usage
Arguments
Value
Description
This implementation uses package RSpectra to compute eigenvectors.
Use of RSpectra as provider for sparse-matrix eigenvectors
credited to https://github.com/jlmelville/uwot
Usage
1
spectral.eigenvectors(x, k)
Arguments
x
coo object
k
integer
Value
list with
donelsonsmith/umap_R documentation built on Nov. 4, 2019, 10:58 a.m.
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Description Usage Arguments Value
Description
This implementation uses package RSpectra to compute eigenvectors. Use of RSpectra as provider for sparse-matrix eigenvectors credited to https://github.com/jlmelville/uwot
Usage
1 | spectral.eigenvectors(x, k)
|
Arguments
x |
coo object |
k |
integer |
Value
list with
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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