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PAMclustering=PAMClustering=function(DataOrDistances,ClusterNo,PlotIt=FALSE,Standardization=TRUE,Data,...){
# INPUT
# Data[1:n,1:d] Data set with n observations and d features
# ClusterNo Number of clusters to search for
#
# OPTIONAL
# PlotIt Boolean. Decision to plot or not
# Standardization Boolean.
#
# OUTPUT
# Cls[1:n] Clustering of data
# Object Object of cluster::pam algorithm
#
# Author: MT, 04/2018
if (!requireNamespace('cluster',quietly = TRUE)) {
message(
'Subordinate clustering package (cluster) is missing. No computations are performed.
Please install the package which is defined in "Suggests".'
)
return(
list(
Cls = rep(1, nrow(DataOrDistances)),
Object = "Subordinate clustering package (cluster) is missing.
Please install the package which is defined in 'Suggests'."
)
)
}
if(missing(DataOrDistances)){
DataOrDistances=Data
}
if(Standardization==1) Standardization=TRUE
if(Standardization==0) Standardization=FALSE
if (isSymmetric(unname(DataOrDistances))) {
Input = as.dist(DataOrDistances)
AnzVar = ncol(DataOrDistances)
AnzData = nrow(DataOrDistances)
diss =TRUE
}else{
Input=DataOrDistances
diss =FALSE
}
pam=cluster::pam(x=Input,k=ClusterNo,diss=diss,stand=Standardization,...)
Cls=pam$clustering
if(!is.null(rownames(DataOrDistances)))
names(Cls)=rownames(DataOrDistances)
else
names(Cls)=1:nrow(DataOrDistances)
if(PlotIt){
ClusterPlotMDS(DataOrDistances,Cls)
}
Cls=ClusterRename(Cls,DataOrDistances)
return(list(Cls=Cls,Object=pam))
}
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