bhattacharyya.matrix: Matrix of pairwise Bhattacharyya distances

In fpc: Flexible Procedures for Clustering

Matrix of pairwise Bhattacharyya distances

Description

Computes Bhattachryya distances for pairs of components given the parameters of a Gaussian mixture.

Usage

bhattacharyya.matrix(muarray,Sigmaarray,ipairs="all", 
                                 misclassification.bound=TRUE)

Arguments

muarray	matrix of component means (different components are in different columns).
Sigmaarray	three dimensional array with component covariance matrices (the third dimension refers to components).
ipairs	"all" or list of vectors of two integers. If ipairs="all", computations are carried out for all pairs of components. Otherwise, ipairs gives the pairs of components for which computations are carried out.
misclassification.bound	logical. If TRUE, upper bounds for misclassification probabilities exp(-b) are given out instead of the original Bhattacharyya distances b.

Value

A matrix with Bhattacharyya distances (or derived misclassification bounds, see above) between pairs of Gaussian distributions with the provided parameters. If ipairs!="all", the Bhattacharyya distance and the misclassification bound are given as NA for pairs not included in ipairs.

Author(s)

Christian Hennig [e-mail] https://www.unibo.it/sitoweb/christian.hennig/en/

References

Fukunaga, K. (1990) Introduction to Statistical Pattern Recognition, 2nd edition, Academic Press, New York.

Hennig, C. (2010) Methods for merging Gaussian mixture components, Advances in Data Analysis and Classification, 4, 3-34.

See Also

bhattacharyya.dist

Examples

  muarray <-cbind(c(0,0),c(0,0.1),c(10,10))
  sigmaarray <- array(c(diag(2),diag(2),diag(2)),dim=c(2,2,3))
  bhattacharyya.matrix(muarray,sigmaarray,ipairs=list(c(1,2),c(2,3)))

fpc documentation built on Sept. 24, 2024, 9:07 a.m.