```
model <- Mclust(faithful)
# predict cluster for the observed data
pred <- predict(model)
str(pred)
pred$z # equal to model$z
pred$classification # equal to
plot(faithful, col = pred$classification, pch = pred$classification)
# predict cluster over a grid
grid <- apply(faithful, 2, function(x) seq(min(x), max(x), length = 50))
grid <- expand.grid(eruptions = grid[,1], waiting = grid[,2])
pred <- predict(model, grid)
plot(grid, col = mclust.options("classPlotColors")[pred$classification], pch = 15, cex = 0.5)
points(faithful, pch = model$classification)
```

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