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mclust (version 5.4.10)

map: 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"), ...)

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.

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.

See Also

unmap, estep, em, me.

Examples

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

map(emEst$z)

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