spectralClustering: Our implementation of spectral clustering
In g-l-mansell/RcppRidge: Parallel Bayesian Ridge Regression
Description
Usage
Arguments
Value
Description
Given a data matrix x, samples are clustered into k groups using a spectral (eigen-) decomposition of the graph Laplacian.
Uses the implementation of kmeans from this package 'k_means'.
Usage
1
spectralClustering(x, c = 1, k = 10)
Arguments
x
numeric matrix of data, where rows are samples
c
k
the number of groups
Value
vector of groups
g-l-mansell/RcppRidge documentation built on Dec. 20, 2021, 9:43 a.m.
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Description Usage Arguments Value
Description
Given a data matrix x, samples are clustered into k groups using a spectral (eigen-) decomposition of the graph Laplacian. Uses the implementation of kmeans from this package 'k_means'.
Usage
1 | spectralClustering(x, c = 1, k = 10)
|
Arguments
x |
numeric matrix of data, where rows are samples |
c |
|
k |
the number of groups |
Value
vector of groups
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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