| randomPairs {mclust} | R Documentation |
Create a hierarchical structure using a random partition of the data.
randomPairs(data, seed, ...)
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 |
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.
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.
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)