groups_matching: Match the groups obtained from two classifications

In geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification

Match the groups obtained from two classifications

Description

Match the groups obtained from two classifications based on the Jaccard index calculated on the membership matrices.

Usage

groups_matching(object.x, object.y)

Arguments

object.x	A FCMres object, or a simple membership matrix. It is used as the reference for the ordering of the groups
object.y	A FCMres object, or a simple membership matrix. The order of its groups will be updated to match with the groups of object.x

Details

We can not expect to obtain the groups in the same order in each run of a classification algorithm. This function can be used match the clusters of a first classification with the most similar clusters in a second classification. Thus it might be easier to compare the results of two algorithms or two runs of the same algorithm.

Value

The FCMres object or the membership matrix provided for the parameter object.y with the order of the groups updated.

Examples

data(LyonIris)

#selecting the columns for the analysis
AnalysisFields <-c("Lden","NO2","PM25","VegHautPrt","Pct0_14",
                   "Pct_65","Pct_Img","TxChom1564","Pct_brevet","NivVieMed")

#rescaling the columns
Data <- sf::st_drop_geometry(LyonIris[AnalysisFields])
for (Col in names(Data)){
  Data[[Col]] <- as.numeric(scale(Data[[Col]]))
}

Cmean <- CMeans(Data,4,1.5,500,standardize = FALSE, seed = 456, tol = 0.00001, verbose = FALSE)
Cmean2 <- CMeans(Data,4,1.5,500,standardize = FALSE, seed = 789, tol = 0.00001, verbose = FALSE)
ordered_Cmean2 <- groups_matching(Cmean,Cmean2)

geocmeans documentation built on Sept. 12, 2023, 9:06 a.m.