permuteZEst function

Optimal matching between 2 clusterings

Optimal matching between 2 clusterings

Compute the permutation of the rows of hat.z that has to be applied to obtain the "same order" as z. Compute optimal matching between 2 clusterings using Hungarian algorithm

permuteZEst(z, hat.z)

Arguments

  • z: Matrice of size Q×nQ \times n
  • hat.z: Matrice of size Q×nQ \times n

Examples

z <- matrix(c(1,1,0,0,0,0, 0,0,1,1,0,0, 0,0,0,0,1,1), nrow = 3, byrow = TRUE) hat.z <- matrix(c(0,0,1,1,0,0, 1,1,0,0,0,0, 0,0,0,0,1,1), nrow = 3, byrow = TRUE) perm <- permuteZEst(z,hat.z)

References

HUBERT, L. & ARABIE, P. (1985). Comparing partitions. J. Classif. 2, 193–218.

MATIAS, C., REBAFKA, T. & VILLERS, F. (2018). A semiparametric extension of the stochastic block model for longitudinal networks. Biometrika.