# \donttest{
X <- iris[,1:4]
class <- iris$Species
# randomly remove class labels
set.seed(123)
class[sample(1:length(class), size = 120)] <- NA
table(class, useNA = "ifany")
clPairs(X, ifelse(is.na(class), 0, class),
symbols = c(0, 16, 17, 18), colors = c("grey", 4, 2, 3),
main = "Partially classified data")
# Fit semi-supervised classification model
mod_SSC <- MclustSSC(X, class)
pred_SSC <- predict(mod_SSC)
table(Predicted = pred_SSC$classification, Actual = class, useNA = "ifany")
X_new = data.frame(Sepal.Length = c(5, 8),
Sepal.Width = c(3.1, 4),
Petal.Length = c(2, 5),
Petal.Width = c(0.5, 2))
predict(mod_SSC, newdata = X_new)
# }
Run the code above in your browser using DataLab