calcFukuyamaSugeno {geocmeans}R Documentation

Fukuyama and Sugeno index

Description

Calculate Fukuyama and Sugeno index of clustering quality

Usage

calcFukuyamaSugeno(data, belongmatrix, centers, m)

Arguments

data

The original dataframe used for the clustering (n*p)

belongmatrix

A membership matrix (n*k)

centers

The centers of the clusters

m

The fuzzyness parameter

Value

A float : the Fukuyama and Sugeno index

Examples

data(LyonIris)
AnalysisFields <-c("Lden","NO2","PM25","VegHautPrt","Pct0_14","Pct_65","Pct_Img",
"TxChom1564","Pct_brevet","NivVieMed")
dataset <- LyonIris@data[AnalysisFields]
queen <- spdep::poly2nb(LyonIris,queen=TRUE)
Wqueen <- spdep::nb2listw(queen,style="W")
result <- SFCMeans(dataset, Wqueen,k = 5, m = 1.5, alpha = 1.5, standardize = TRUE)
calcFukuyamaSugeno(result$Data,result$Belongings, result$Centers, 1.5)

[Package geocmeans version 0.1.1 Index]