Hello all,

I am trying to create a Clustergram in R.
(More about it here: http://www.schonlau.net/clustergram.html)

And to produce a picture similar to what is seen here:
http://www.schonlau.net/images/clustergramexample.gif

I was able (more or less) to write the R code for creating the image, but
there is one thing I can't seem to figure out, that is the
*changing*"smudge factor" of the lines.
I want the overlapping lines to "jitter" a tiny bit so they will give a
sense of thickness to the line (according to how many observations are
present in that cluster).
My current solution is to use a constant jitter (based on "seq") on all the
k number of clusters, but that causes glitches in the produced image (run my
code to see).

Here is a simple self reproducible code to create the image I was able to
make:



# ------------------------------------

set.seed(100)
Data <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2),
           matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2))
colnames(x) <- c("x", "y")

# noise <- runif(100,0,.05)
noise <- seq(0,.3, length.out = 100)
Y <- NULL
X <- NULL
k.range <- 2:10
for(k in k.range)
{
 cl <- kmeans(Data, k)
y <- apply(cl$centers,1, mean)[cl$cluster] + noise
 Y <- cbind(Y, y)
x <- rep(k, length(y))
X <- cbind(X, x)
 points(y ~ x)
}

require(colorspace)
COL <- rainbow_hcl(100)
plot(0,0, col = "white", xlim = c(1,10), ylim = c(-.5,1.6),
 xlab = "Number of clusters", ylab = "Clusters means", main = "(Basic)
Clustergram")
axis(side =1, at = k.range)
abline(v = k.range, col = "grey")
matlines(t(X), t(Y), pch = 19, col = COL, lty = 1, lwd = 1.5)

# The next step would be to create a method for different cluster objects,
but thats for another day...


#--------------------------------------------

Any suggestions on how to do this ?

Thanks,
Tal



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