Nothing
library(Rmixmod)
createGaussianParameter <- function(nbCluster, pbDimension) {
proportions <- rep(1.0 / nbCluster, nbCluster)
means <- matrix(rep(0, nbCluster * pbDimension),
nrow = nbCluster,
ncol = pbDimension
)
for (k in 1:nbCluster) {
for (p in 1:pbDimension) {
means[k, p] <- k
}
}
variances <- list(c(1:nbCluster))
for (k in 1:nbCluster) {
variances[[k]] <- diag(pbDimension)
}
par <- new("GaussianParameter",
proportions = proportions,
mean = means, variance = variances
)
return(par)
}
data(iris)
data <- iris[, 1:4]
param <- createGaussianParameter(3, 4)
strategy <- mixmodStrategy(initMethod = "parameter", parameter = param)
out <- mixmodCluster(data = data, nbCluster = 3, strategy = strategy)
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