ComputeNodeParameters     package:GraphAlignment     R Documentation

_C_o_m_p_u_t_e _n_o_d_e _p_a_r_a_m_e_t_e_r_s

_D_e_s_c_r_i_p_t_i_o_n:

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

_U_s_a_g_e:

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

_A_r_g_u_m_e_n_t_s:

    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

_D_e_t_a_i_l_s:

     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.

_V_a_l_u_e:

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

_A_u_t_h_o_r(_s):

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

_E_x_a_m_p_l_e_s:

       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)

