map: Classification given Probabilities

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Classification given Probabilities

Description

Converts a matrix in which each row sums to 1 to an integer vector specifying for each row the column index of the maximum.

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.

See Also

unmap, estep, em, me.

Examples

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

map(emEst$z)

mclust documentation built on Nov. 16, 2023, 5:10 p.m.