sc <- function(x, u, v, m, t=NULL, eta, tidx ="f"){
if(missing(x))
stop("Missing input argument. A ppclust object or a numeric data set is required")
tidx <- match.arg(tidx, c("e","f","g"))
if(inherits(x, "ppclust")){
X <- as.matrix(x$x)
if(!is.null(x$u)){
U <- as.matrix(x$u)
m <- x$m
}
else if(!is.null(x$t)){
U <- as.matrix(x$t)
m <- x$eta
}
else{
stop("Argument 'x' does not have the fuzzy membership or typicality matrix")
}
V <- as.matrix(x$v)
if(tidx == "e" || tidx == "g"){
if(!is.null(x$t)){
T <- x$t
eta <- x$eta
}
else
stop("Argument 'x' does not have the typicality matrix")
}
dcheck <- FALSE
}
else{
dcheck <- TRUE
if(!missing(x))
if(is.matrix(x) || is.data.frame(x) || is.vector(x))
X <- as.matrix(x)
else
stop("Argument 'x' must be a valid instance of the 'ppclust', a numeric vector, data frame or matrix")
else
stop("Missing argument 'x'")
if(!missing(u))
if(is.matrix(u) || is.data.frame(u))
U <- as.matrix(u)
else
stop("Argument 'u' must be a numeric data frame or matrix")
else
stop("Missing argument 'u'")
if(!missing(v))
if(is.matrix(v) || is.data.frame(v))
V <- as.matrix(v)
else
stop("Argument 'v' must be a numeric data frame or matrix")
else
stop("Missing argument 'v'")
if(tidx != "f")
if(!is.null(t))
if(is.matrix(t) || is.data.frame(t))
T <- as.matrix(t)
else
stop("Argument 't' must be a numeric data frame or matrix")
else
stop("Argument 't' is null")
if(tidx != "f"){
if(missing(eta))
eta <- 2
if(!is.numeric(eta))
stop("Argument 'eta' must be number")
if(eta < 1)
stop("Argument 'eta' should be a positive number equals to or greater than 1")
}
if(missing(m))
m <- 2
if(!is.numeric(m))
stop("Argument 'm' must be number")
if(m < 1)
stop("Argument 'm' should be a positive number equals to or greater than 1")
}
if(nrow(X) != nrow(U))
stop("The number of rows of data set is not equal to the number of rows of the membership matrix")
if(ncol(X) != ncol(V))
stop("The number of columns of the data set matrix is not equal to the number of columns of prototypes matrix")
if(ncol(U) != nrow(V))
stop("The number of columns of the membership matrix is not equal to the number of rows of prototypes matrix")
if(tidx == "g"){
if(!is.null(T))
U <- T/rowSums(T)
else
stop("Typicality matrix is required to compute the generalized SC index")
}
n <- nrow(U)
k <- ncol(U)
vcenters <- apply(V, 2, mean)
idx <- as.double(0)
tnomsc1 <- tdenomsc1 <- 0
for(j in 1:k){
denomsc1 <- 0
totu <- 0
for(i in 1:n){
if(tidx=="e"){
denomsc1 <- denomsc1 + (U[i,j]^m + T[i,j]^eta) * sum((X[i,]-V[j,])^2)
totu <- totu + U[i,j] + T[i,j]
}
else{
denomsc1 <- denomsc1 + (U[i,j]^m) * sum((X[i,]-V[j,])^2)
totu <- totu + U[i,j]
}
}
tnomsc1 <- tnomsc1 + sum((V[j,]-vcenters)^2)
tdenomsc1 <- tdenomsc1 + denomsc1 / totu
}
sc1 <- tnomsc1 / k / tdenomsc1
tsqminu <- tminu <- 0
for(j in 1:(k-1)){
for(l in (j+1):k){
for(i in 1:n){
if(tidx=="e")
minu <- min((U[i,j]+T[i,j]), (U[i,l]+T[i,l]))
else
minu <- min(U[i,j], U[i,l])
tsqminu <- tsqminu + minu^2
tminu <- tminu + minu
}
}
}
tsqmaxu <- tmaxu <- 0
for(i in 1:n){
if(tidx=="e"){
tsqmaxu <- tsqmaxu + max((U[i,]+T[i,]))^2
tmaxu <- tmaxu + max((U[i,]+T[i,]))
}
else{
tsqmaxu <- tsqmaxu + max(U[i,])^2
tmaxu <- tmaxu + max(U[i,])
}
}
sc2 <- (tsqminu/tminu) / (tsqmaxu/tmaxu)
idx <- sc1 - sc2
if(tidx == "f")
names(idx) <- "sc"
else if(tidx == "e")
names(idx) <- "sc.e"
else if(tidx == "g")
names(idx) <- "sc.g"
return(idx)
}
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