R: Classification given Probabilities

map {mixOmics} | R Documentation

## 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(Y)

### Arguments

`Y` | A matrix (for example a matrix of conditional probabilities in which each row sums to 1).

### Value

A integer vector with one entry for each row of Y, in which the i-th value is the column index at which the i-th row of `Y` 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`

### Examples

    data(nutrimouse)
    Y = unmap(nutrimouse$diet)

    map(Y)

[Package mixOmics version 6.3.2 Index]