GNU R: Clusteranalyse

Regal: EDV GNU R

Clusteranalyse-Algorithmen finden sich in verschiedenen Paketen von R. Eine Übersicht findet sich in der Taskview Cluster.

• k-Means Algorithmen (Standardpaket stats):

 kmeans(x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"))

• Fuzzy C-Means Algorithmen (Paket e1071):

 cmeans(x, centers, iter.max = 100, verbose = FALSE, dist = "euclidean", method = "cmeans", m = 2, rate.par = NULL, weights = 1, control = list())

• Hierarchische Clusteranalyse (Standardpaket stats):

 hclust(d, method = "complete", members=NULL)

• Zur Berechnung der Distanzen d (Standardpaket stats):

  dist(x, method = "euclidean", diag = FALSE, upper = FALSE, p = 2)