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

## 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

 `1` ```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.

`unmap`, `estep`, `em`, `me`.

## Examples

 ```1 2 3``` ```emEst <- me(modelName = "VVV", data = iris[,-5], z = unmap(iris[,5])) map(emEst\$z) ```

### Example output

```Package 'mclust' version 5.4.3
Type 'citation("mclust")' for citing this R package in publications.
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[38] 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 2 3 2 3 2
[75] 2 2 2 3 2 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3
[112] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
[149] 3 3
```

mclust documentation built on Dec. 17, 2021, 5:19 p.m.