# ComputeNodeParameters: Compute node parameters In GraphAlignment: GraphAlignment

## Description

Compute the optimal scoring parameters (node score) for a given alignment.

## Usage

 `1` ```ComputeNodeParameters(dimA, dimB, R, P, lookupNode, clamp=TRUE) ```

## Arguments

 `dimA` size of network A `dimB` size of network B `R` node similarity score matrix `P` permutation vector (see InitialAlignment, AlignNetworks) `lookupNode` node bin lookup table (see GetBinNumber) `clamp` clamp values to range when performing bin lookups

## Details

This function computes optimal node score parameters for use with ComputeM and AlignNetworks. It takes the size of the networks, a matrix of node similarities R, an initial alignment P, and the lookup table for node binning, lookupNode, as parameters.

## Value

The return value is list containing the node score vectors s0 and s1.

## Author(s)

Joern P. Meier, Michal Kolar, Ville Mustonen, Michael Laessig, and Johannes Berg

## Examples

 ```1 2 3 4 5 6 7 8``` ``` ex<-GenerateExample(dimA=22, dimB=22, filling=.5, covariance=.6, symmetric=TRUE, numOrths=10, correlated=seq(1,18)) pinitial<-InitialAlignment(psize=34, r=ex\$r, mode="reciprocal") lookupNode<-c(-.5,.5,1.5) nodeParams<-ComputeNodeParameters(dimA=22, dimB=22, ex\$r, pinitial, lookupNode) ```

GraphAlignment documentation built on Nov. 8, 2020, 6:56 p.m.