mclust (version 5.2.2)

map: Classification given Probabilities

Description

Converts a matrix in which each row sums to 1 into the nearest matrix of (0,1) indicator variables.

Usage

map(z, warn = mclust.options("warn"), ...)

Arguments

z

A matrix (for example a matrix of conditional probabilities in which each row sums to 1 as produced by the E-step of the EM algorithm).

warn

A logical variable indicating whether or not a warning should be issued when there are some columns of z for which no row attains a maximum.

...

Provided to allow lists with elements other than the arguments can be passed in indirect or list calls with do.call.

Value

A integer vector with one entry for each row of z, in which the i-th value is the column index at which the i-th row of z attains a maximum.

References

C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631. C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.

See Also

unmap, estep, em, me.

Examples

emEst <- me(modelName = "VVV", data = iris[,-5], z = unmap(iris[,5]))

map(emEst$z)