simK: Kernel matrix similarity
In kerntools: Kernel Functions and Tools for Machine Learning Applications
simK R Documentation
Kernel matrix similarity
Description
'simK()' computes the similarity between kernel matrices.
Usage
simK(Klist)
Arguments
Klist
A list of M kernel matrices with identical NxN dimension.
Details
It is a wrapper of 'Frobenius()'.
Value
Kernel matrix (dimension: MxM).
Examples
K1 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50))
K2 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50))
K3 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50))
simK(list(K1,K2,K3))
kerntools documentation built on April 3, 2025, 7:52 p.m.
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| simK | R Documentation |
Kernel matrix similarity
Description
'simK()' computes the similarity between kernel matrices.
Usage
simK(Klist)
Arguments
Klist |
A list of M kernel matrices with identical NxN dimension. |
Details
It is a wrapper of 'Frobenius()'.
Value
Kernel matrix (dimension: MxM).
Examples
K1 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50))
K2 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50))
K3 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50))
simK(list(K1,K2,K3))
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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