```
# NOT RUN {
data(iris)
x <- iris[, -5]
# finding kNN directly in data (using a kd-tree)
nn <- kNN(x, k=5)
nn
# explore neighborhood of point 10
i <- 10
nn$id[i,]
plot(x, col = ifelse(1:nrow(iris) %in% nn$id[i,], "red", "black"))
# Visualize the 5 nearest neighbors
plot(nn, x)
# Visualize a reduced 2-NN graph
plot(kNN(nn, k = 2), x)
# }
```

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