kmeanspp: A new version of kmeans that generates stable cluster result

In M3JF: Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis

A new version of kmeans that generates stable cluster result

Description

A new version of kmeans that generates stable cluster result

Usage

kmeanspp(X, k)

Arguments

X	a data matrix with each row as a sample and each column as a feature
k	the cluster number

Value

res, the cluster result generated by this function

Examples

library(InterSIM)
sim.data <- InterSIM(n.sample=500, cluster.sample.prop = c(0.20,0.30,0.27,0.23),
delta.methyl=5, delta.expr=5, delta.protein=5,p.DMP=0.2, p.DEG=NULL,
p.DEP=NULL,sigma.methyl=NULL, sigma.expr=NULL, sigma.protein=NULL,cor.methyl.expr=NULL,
cor.expr.protein=NULL,do.plot=FALSE, sample.cluster=TRUE, feature.cluster=TRUE)
sim.methyl <- sim.data$dat.methyl
sim.expr <- sim.data$dat.expr
sim.protein <- sim.data$dat.protein
temp_data <- list(sim.methyl, sim.expr, sim.protein)
init_list <- initialize_WL(temp_data,k=4)
lambda <- 0.01
update_E_list <- update_E(temp_data,init_list,lambda)
cluster_res <- kmeanspp(update_E_list[[4]],4)

M3JF documentation built on Aug. 14, 2023, 9:08 a.m.