R: Random hierarchical structure

randomPairs {mclust} | R Documentation

## Random hierarchical structure

### Description

Create a hierarchical structure using a random partition of the data.

### Usage

    randomPairs(data, seed, ...)

### Arguments

`data` | A numeric matrix or data frame of observations. If a matrix or data frame, rows correspond to observations and columns correspond to variables.
`seed` | Optional single value, interpreted as an integer, specifying the seed for random partition.
`...` | Catches unused arguments in indirect or list calls via `do.call`.

### Value

A numeric two-column matrix in which the ith row gives the minimum index for observations in each of the two clusters merged at the ith stage of a random agglomerative hierarchical clustering.

### References

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

`hc`, `hclass` `hcVVV`

### Examples

    data <- iris[,1:4]
    randPairs <- randomPairs(data)
    str(randPairs)
    # start model-based clustering from a random partition
    mod <- Mclust(data, initialization = list(hcPairs = randPairs))
    summary(mod)

[Package mclust version 5.3 Index]