Displaying 1 result from an estimated 1 matches for "findgradient".
2011 Dec 23
2
missing value where TRUE/FALSE needed
...ncol(data)
n.rows <- nrow(data)
X <- as.matrix(data)
stepsize <- 0.05
c1 <- (2 * pi) ** (n.cols / 2)
c2 <- n.rows * (smoothing ** (n.cols + 2))
c3 <- n.rows * (smoothing ** n.cols)
Kexp <- function(sqs){
return (exp((-1 * sqs) / (2 * smoothing ** 2)))
}
FindGradient <- function(x){
XmY <- t(x - t(X))
sqsum <- rowSums(XmY * XmY)
K <- sapply(sqsum, Kexp)
dens <- ((c1 * c3) ** -1) * sum(K)
grad <- -1 * ((c1 * c2) ** -1) * colSums(K * XmY)
return (list(gradient = grad,
density = dens))
}
attractors &l...