getKmeans: K-means clustering of data points
In CHAT: Clonal Heterogeneity Analysis Tool

Description Usage Arguments Value Author(s) Examples

Performs canonical K-means clustering of data points on BAF-LRR plot. (Internal use)

1	getKmeans(sam.dat, iter.max = 10, para)

`sam.dat`	numeric matrix, segmentation file returned by getSegChr() or getSeg()
`iter.max`	integer, maximum number of iteration to be performed before convergence
`para`	a list of parameters returned by getPara()

a kmeans object for internal use.

Bo Li

para=getPara()
## Not run: 
data(A0SD.BAF)
data(A0SD.LRR)
chr8.baf=A0SD.BAF[A0SD.BAF[,2]==8,]
chr8.lrr=A0SD.LRR[A0SD.LRR[,2]==8,]
x=getSegChr(chr8.baf,chr8.lrr)
getKmeans(x,para=para)

## End(Not run)