Nothing
FannyClustering=function(DataOrDistances,ClusterNo,PlotIt=FALSE,Standardization=TRUE,...){
#
# INPUT
# DataOrDistances[1:n,1:d] Dataset with n observations and d features or distance matrix with size n
# ClusterNo Number of clusters to search for
# PlotIt Boolean. Decision to plot or not
# Standardization Boolean. Decision of use of standardization or not.
#
# OUTPUT
# Cls[1:n] Clustering of data
# fanObject Object of fanny 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 (unname(isSymmetric(DataOrDistances))) {
Input = as.dist(DataOrDistances)
AnzVar = ncol(DataOrDistances)
AnzData = nrow(DataOrDistances)
diss =TRUE
}else{
Input=DataOrDistances
diss =FALSE
}
fan=cluster::fanny(Input,k=ClusterNo,diss=diss,stand=Standardization,...)
Cls=fan$clustering
if(!is.null(rownames(DataOrDistances)))
names(Cls)=rownames(DataOrDistances)
else
names(Cls)=1:nrow(DataOrDistances)
Cls[!is.finite(Cls)]=0
if(isTRUE(PlotIt)){
Cls2=Cls
Cls2[Cls2==0]=999
ClusterPlotMDS(DataOrDistances,Cls2)
}
Cls=ClusterRename(Cls,DataOrDistances)
return(list(Cls=Cls,Object=fan))
}
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