Retrives the labels for the clusters found by PART
getPARTlabels(clusters, minSize)PART labels
example_dta<-create_example_data_for_R()
X=as.matrix(example_dta$counts)
#Default ... values:
default.par <- list(q=0.25,Kmax.rec=5,B=10,ref.gen="PC",dist.method="euclidean",cl.method="hclust",linkage="average",cor.method="pearson",nstart=10)
#Check for user modifications:
fixed.par <- c(minDist=NULL,minSize=2,modifyList(default.par,list(cor.method='pearson',linkage='average')))
#Find stopping threshold if minDist is NULL
minDist <- get.threshold(X,q=fixed.par$q,fixed.par)
fixed.par$minDist <- minDist
clusters = PartRec(X,Kmax=10,ind=rep(1,nrow(X)),cl.lab=NULL,fixed.par)
#Check for possible outliers and assign cluster labels
label <- getPARTlabels(clusters,minSize=2)