R: Random hierarchical structure

hcRandomPairs {mclust} | R Documentation

## Random hierarchical structure

### Description

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

### Usage

    hcRandomPairs(data, seed = NULL, ...)

### 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.

### See Also

`hc`, `hclass` `hcVVV`

### Examples

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

[Package mclust version 5.4.9 Index]