coreClust: Clustering

Description Usage Arguments Value Author(s) Examples

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

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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 (hd2326@columbia.edu)

Examples

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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)}

hd2326/iterClust documentation built on May 31, 2019, 3:54 a.m.