coreClust: Clustering

In iterClust: Iterative Clustering

Description

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.

Usage

coreClust(dset, iteration)

Arguments

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

Value

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

Author(s)

DING, HONGXU ([e-mail])

Examples

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)}

iterClust documentation built on Nov. 8, 2020, 5:43 p.m.