Random hierarchical structure
Create a hierarchical structure using a random hierarchical partition of the data.
hcRandomPairs(data, seed = NULL, ...)
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.
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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.