netClass (version 1.2.1)

calc.diffusionKernelp: Computing the Random Walk Kernel matrix of network

Description

Computing the Random Walk Kernel matrix of network

Usage

calc.diffusionKernelp(L, is.adjacency = TRUE, p = 3, a = 2)

Arguments

L

an adjacency matrix that represents the underlying biological network.

is.adjacency

using adjacency of graph or not

p

#(p) random walk step(s) of random walk kernel

a

constant value of random walk kernel

Value

R

Return a Random Walk Kernel matrix of given network, L.

References

Kondor, R. I., & Lafferty, J. (2002, July). Diffusion kernels on graphs and other discrete input spaces. In MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE- (pp. 315-322).

See Also

See Also as classify.stsvm

Examples

library(netClass)
data(ad.matrix) 
#dk= calc.diffusionKernelp(L=ad.matrix, is.adjacency=TRUE, p=2,a=1)