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K-Mean Clustering 2
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set.seed(564)
x <- matrix(rnorm(50 * 4), ncol = 2)
x[1:25, 1] <- x[1:25, 1] + 4
x[1:25, 2] <- x[1:25, 2] + 4
x[26:50, 1] <- x[26:50, 1] - 7
x[26:50, 2] <- x[26:50, 2] - 7
x[51:75, 1] <- x[51:75, 1] + 4
x[51:75, 2] <- x[51:75, 2] - 4
x[76:100, 1] <- x[76:100, 1] - 2
x[76:100, 2] <- x[76:100, 2] + 2
km.out <- ...
plot(x, col = (km.out$cluster + 1), main = "K-Means Clustering Results with K=???",
xlab = "", ylab = "", pch = 20, cex = 2)