hclass {mclust} | R Documentation |
Determines the classifications corresponding to different numbers of groups given merge pairs from hierarchical agglomeration.
hclass(hcPairs, G)
hcPairs |
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 agglomerative hierarchical clustering. |
G |
An integer or vector of integers giving the number of clusters for which the corresponding classfications are wanted. |
A matrix with length(G)
columns, each column
corresponding to a classification. Columns are indexed by the character
representation of the integers in G
.
C. Fraley and A. E. Raftery (2002b). MCLUST:Software for model-based clustering, density estimation and discriminant analysis. Technical Report, Department of Statistics, University of Washington. See http://www.stat.washington.edu/mclust.
data(iris) irisMatrix <- iris[,1:4] hcTree <- hc(modelName="VVV", data = irisMatrix) cl <- hclass(hcTree,c(2,3)) par(pty = "s", mfrow = c(1,1)) clPairs(irisMatrix,cl=cl[,"2"]) clPairs(irisMatrix,cl=cl[,"3"])