calcqualityIndexes {geocmeans}R Documentation

Quality indexes

Description

calculate several clustering quality indexes (most of them come from fclust package)

Usage

calcqualityIndexes(data, belongmatrix, m)

Arguments

data

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

belongmatrix

A membership matrix (n*k)

m

The fuzziness parameter used for the classification

Value

A named list with

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)
calcqualityIndexes(result$Data,result$Belongings, m=1.5)

[Package geocmeans version 0.1.1 Index]