Nothing
SIL.F <- function (Xca, U, alpha, distance = FALSE)
{
if (missing(Xca))
stop("The data set must be given")
if (is.null(Xca))
stop("The data set Xca is empty")
n=nrow(Xca)
Xca=as.matrix(Xca)
if (any(is.na(Xca)))
stop("The data set Xca must not contain NA values")
if (!is.numeric(Xca))
stop("The data set Xca is not a numeric data.frame or matrix")
if (is.null(rownames(Xca)))
rn=paste("Obj",1:n,sep=" ")
else
rn=rownames(Xca)
if (missing(U))
stop("The membership degree matrix U must be given")
if (is.null(U))
stop("The membership degree matrix U is empty")
U=as.matrix(U)
if (any(is.na(U)))
stop("The membership degree matrix U must not contain NA values")
if (!is.numeric(U))
stop("The membership degree matrix U is not numeric")
if (ncol(U)==1)
stop("There is only k=1 cluster: the fuzzy silhouette index is not computed")
if (nrow(U)!=nrow(Xca))
stop("The numbers of rows of U and Xca must be the same")
if (missing(alpha))
{
alpha=1
cat("The default value alpha=1 has been set ",fill=TRUE)
}
if (!is.numeric(alpha))
{
alpha=1
cat("The weighting coefficient alpha is not numeric: the default value alpha=1 will be used ",fill=TRUE)
}
if (alpha<0)
{
alpha=1
cat("The number of clusters k must be non negative: the value alpha=1 will be used ",fill=TRUE)
}
sil.f = silhouetteFuzzy(X = Xca,U = U,alpha = alpha,p = ncol(Xca),k = ncol(U),n = n, distance = distance)
return(sil.f)
}
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