undecidedUnits: Undecided observations

In geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification

Undecided observations

Description

Identify the observation for which the classification is uncertain

Usage

undecidedUnits(belongmatrix, tol = 0.1, out = "character")

Arguments

belongmatrix	The membership matrix obtained at the end of the algorithm
tol	A float indicating the minimum required level of membership to be not considered as undecided
out	The format of the output vector. Default is "character". If "numeric", then the undecided units are set to -1.

Value

A vector indicating the most likely group for each observation or "Undecided" if the maximum probability for the observation does not reach the value of the tol parameter

Examples

data(LyonIris)
AnalysisFields <-c("Lden","NO2","PM25","VegHautPrt","Pct0_14","Pct_65","Pct_Img",
"TxChom1564","Pct_brevet","NivVieMed")
dataset <- sf::st_drop_geometry(LyonIris[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)
undecidedUnits(result$Belongings, tol = 0.45)

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