I created a scatter plot using ggplot2 package for my data. Since my data has large number of points, I will explain my problem with already available small dataset. Consider this scatter plot :
ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point()
I want to use k means clustering to cluster these data points, but then also show the clusters on the same scatterplot(the one shown above) and not a new dimensionality reduction plot? How can I do this?
Here is an alternative using
library(factoextra) df <- mtcars %>% select(x = wt, y = mpg) # Compute k-means with k = 3 set.seed(123) res.km <- kmeans(scale(df[, -5]), 3, nstart = 25) res.km$cluster fviz_cluster(res.km, data = df[, -5], palette = c("steelblue", "gold", "limegreen"), geom = "point", ellipse.type = "convex", ggtheme = theme_bw() )