kmeansProbaPost: Calculate conditional probabilities of cluster membership for...
In coseq: Co-Expression Analysis of Sequencing Data

Description Usage Arguments Value Examples

Calculate conditional probabilities of cluster membership for K-means clustering

1	kmeansProbaPost(clusters, tcounts)

`clusters`	Cluster labels arising from K-means clustering
`tcounts`	Transformed counts clustered using K-means

Conditional probabilities of cluster membership for each observation in each cluster

## Example of K-means taken from ?kmeans help page
x <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2),
           matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2))
           colnames(x) <- c("x", "y")
cl <- kmeans(x, 5)
probaPost <- kmeansProbaPost(cl$cluster, x)
head(probaPost)