File:Swiss cmeans.svg
Summary
Description |
English: Fuzzy C-Means result of the Swiss Banknote data (visualized on the first and second principal component) |
Date | |
Source | Own work |
Author | Sigbert |
SVG development | |
Source code | R codelibrary("foreign")
library("e1071")
x <- read.spss("BANK2.sav", to.data.frame=T)
pca <- prcomp(data.matrix(x))
set.seed(0)
k <- 2
# k-Means
km <- kmeans(x, k)
mc <- c("red", "blue")
svg("swiss_kmeans.svg")
plot(pca$x[,1], pca$x[,2], pch=19, col=mc[km$cluster], cex=0.8,
xlab="First principal component", ylab="Second principal component",
main="k-Means")
center <- (km$centers-matrix(pca$center, nc=6, nr=2, byrow=T))%*%pca$rotation[,1:2]
points(center, col=mc, pch="+", cex=2)
points(center, col=mc, cex=2)
dev.off()
# Fuzzy C-Means
fcm <- cmeans(x, k)
size <- 0.8*apply(fcm$membership, 1, max)
svg("swiss_cmeans.svg")
plot(pca$x[,1], pca$x[,2], pch=19, col=mc[fcm$cluster], cex=size,
xlab="First principal component", ylab="Second principal component",
main="Fuzzy C-Means")
center <- (fcm$centers-matrix(pca$center, nc=6, nr=2, byrow=T))%*%pca$rotation[,1:2]
points(center, col=mc, pch="+", cex=2)
points(center, col=mc, cex=2)
dev.off()
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