mclust (version 5.3)

randomPairs: 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

# NOT RUN {
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)
# }