gplotKMeans: Plot clustering MDS for Agilent microarray data
In AlexeiSleptcov/aggi: Agilent arrays analisys (aggy)

Clustering MDS by K-Means clustering algorithm.

1 2	gplotKMeans(data, centers = 2, methodDist = "euclidean", groups = NULL, getresult = FALSE, old = FALSE, ...)

`data`	microarray data. Only for `RGlist`, `MAlist` or `ELits` class objects.
`centers`	either the number of clusters, say k, or a set initial (distinct) cluster centers. If a number, a random set of (distinct) rows in x is chosen as initial centres. See `kmeans`. Default: `2`.
`methodDist`	method for Distance Matrix Computation. See `dist`. Default: "euclidean".
`groups`	forms by groups. Only if argument `old` is `FALSE`.
`getresult`	print result K-Means clustering
`old`	if TRUE draw by plot, else ggplot. Default:FALSE