calSim: Function to calculate the similarity matrix based on the...

In BClustLonG: A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data

Description

Function to calculate the similarity matrix based on the cluster membership indicator of each iteration.

Usage

calSim(mat)

Arguments

mat	Matrix of cluster membership indicator from all iterations

Examples

n = 90 ##number of subjects
iters = 200 ##number of iterations
## matrix of cluster membership indicators
## perfect clustering with three clusters
mat = matrix(rep(1:3,each=n/3),nrow=n,ncol=iters)
sim = calSim(t(mat))

BClustLonG documentation built on July 2, 2020, 4 a.m.