CE_LBM-proc: CE_LBM function for agreement between co-clustering...

In bikm1: Co-Clustering Adjusted Rand Index and Bikm1 Procedure for Contingency and Binary Data-Sets

Description

Produce a measure of agreement between two pairs of partitions for co-clustering using CE_simple on columns and rows of a matrix. A value of 1 means a perfect match.

Usage

CE_LBM(v,w,vprime,wprime)

Arguments

v	numeric vector specifying the class of rows.
w	numeric vector specifying the class of columns.
vprime	numeric vector specifying another partition of rows.
wprime	numeric vector specifying another partition of columns.

Value

ce_vw: the value of the index (between 0 and 1). A value of 0 corresponds to a perfect match.

Examples

require(bikm1)
set.seed(42)
v=floor(runif(4)*2)
vprime=floor(runif(4)*2)
w=floor(runif(4)*3)
wprime=floor(runif(4)*3)
error=CE_LBM(v,w,vprime,wprime)

bikm1 documentation built on July 16, 2021, 9:08 a.m.