coreClust: Clustering
In hd2326/iterClust: Iterative Clustering

Description Usage Arguments Value Author(s) Examples

A sample clustering framework (described in "Examples" section, used as default in iterClust framework). Customized frameworks can be defined following rules specified in "Usage", "Arguments" and "Value" sections.

1	coreClust(dset, iteration)

`dset`	(numeric matrix) features in rows and observations in columns
`iteration`	(positive integer) specifies current iteration

a list, each element contains clustering vectors (named numeric vector with observation names as name and corresponding cluster number as element) under a specific clustering parameter

DING, HONGXU (hd2326@columbia.edu)

coreClust <- function(dset, iteration){
    dist <- as.dist(1 - cor(dset))
    range=seq(2, ncol(dset)-1, by = 1)
    clust <- vector("list", length(range))
    for (i in 1:length(range)) clust[[i]] <- pam(dist, range[i])$clustering
    return(clust)}