mclust (version 5.4.7)

hcRandomPairs: 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

# NOT RUN {
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)
# }