R: Compute Concordance Matrix

concordance {clusterCrit} | R Documentation

## Compute Concordance Matrix

### Description

`concordance` calculates the concordance matrix between two partitions of the same data.

### Usage

      concordance(part1, part2)

### Arguments

`part1` | `[vector]` : the first partition vector.
`part2` | `[vector]` : the second partition vector.

### Details

Given two partitions, the function `concordance` calculates the number of pairs classified as belonging or not belonging to the same cluster with respect to partitions `part1` or `part2`.

### Value

A 2x2 matrix of the form :

          |  P1   |  P2   |
      ____________________
       P1 |  Nyy  |  Nyn  |
       P2 |  Nny  |  Nnn  |
      ____________________

where

- `Nyy` is the number of points belonging to the same cluster both in `part1` and `part2`

- `Nyn` is the number of points belonging to the same cluster in `part1` but not in `part2`

- `Nny` is the number of points belonging to the same cluster in `part2` but not in `part1`

- `Nnn` is the number of points not belonging to the same cluster both in `part1` and `part2`

### Author

Bernard Desgraupes
bernard.desgraupes@u-paris10.fr
University of Paris Ouest - Nanterre
Lab Modal'X (EA 3454)

### See Also

`extCriteria`, `intCriteria`.

### Examples

    # Generate two artificial partitions
    part1<-sample(1:3,150,replace=TRUE)
    part2<-sample(1:5,150,replace=TRUE)

    # Compute the table of concordances and discordances
    concordance(part1,part2)

[Package clusterCrit version 1.2.8 Index]