kernel_normal: A function to perform feature normalization in kernel space.
In Luisiglm/KBoost: Inference of gene regulatory networks from gene expression data
Description
Usage
Arguments
Value
Examples
View source: R/kernel_normal.R
Description
A function to perform feature normalization in kernel space.
Usage
1
Arguments
K
an NxN numeric matrix with the kernel function with N observations.
Value
feature centred kernel.
Examples
1
2
3
x = rnorm(100,0,1)
k = RBF_K(x,40)
k_ = kernel_normal(k)
Luisiglm/KBoost documentation built on May 13, 2021, 7:27 p.m.
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Description Usage Arguments Value Examples
View source: R/kernel_normal.R
Description
A function to perform feature normalization in kernel space.
Usage
1 |
Arguments
K |
an NxN numeric matrix with the kernel function with N observations. |
Value
feature centred kernel.
Examples
1 2 3 | x = rnorm(100,0,1)
k = RBF_K(x,40)
k_ = kernel_normal(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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