[R] Cutting hierarchical cluster tree at specific height fails
David L Carlson
dcarlson at tamu.edu
Tue Jul 15 19:11:59 CEST 2014
I believe you can accomplish this without modifying cutree by analyzing the cluster heights before calling cutree. First generate the data setting the random seed so we are all looking at the same thing:
set.seed(42)
x <- c(rnorm(100,50,10),rnorm(100,200,25),rnorm(100,80,15))
y <- c(rnorm(100,50,10),rnorm(100,200,25),rnorm(100,150,25))
df <- data.frame(x,y)
hc <- hclust(dist(df,method = "euclidean"), method="centroid")
Now figure where to cut the tree by finding the first place that 60 is exceeded. Because of the reversals, there could be more than one solution, so we take the one with more clusters:
hval <- 60
nclust <- (nrow(df)-1):1 # Number of clusters at each step
# Find the number of clusters that first exceeds hval
k <- max(nclust[which(diff(hc$height < hval) == -1) + 1])
df$memb <- cutree(hc, k = k)
David C
-----Original Message-----
From: jlh.membership [mailto:jlh.membership at gmail.com]
Sent: Tuesday, July 15, 2014 10:14 AM
To: 'Johannes Radinger'; David L Carlson
Cc: 'R help'
Subject: RE: [R] Cutting hierarchical cluster tree at specific height fails
Hi Johannes,
Looking at the code for cutree(...), if h is provided but not k, then cutree(...) calculates k from h and calls a C function with k
to cut the tree (but all this only if height is sorted). So we can short circuit the test this way:
cutree.h <- function(tree,h) {
# this line adapted from cutree(...) code
k <- nrow(tree$merge) + 2L - apply(outer(c(hc$height, Inf), h, ">"), 2, which.max)
return(cutree(tree,k=k))
}
df$memb <- cutree.h(hc, h = 60) # this *does* work
plot(df$x,df$y,col=df$memb)
This does work, at least for your example, but note that you didn't set the seed so the plot will be different from your original
question.
John Howard
Prism Marketing Group
http://www.prismmg.com
-----Original Message-----
From: Johannes Radinger [mailto:johannesradinger at gmail.com]
Sent: Monday, July 14, 2014 7:43 AM
To: David L Carlson
Cc: R help
Subject: Re: [R] Cutting hierarchical cluster tree at specific height fails
Of course,
manually checking the number of clusters that are cut at a specific height (e.g. by abline()) is one possibility. However, this only
makes sense for single trees, but is not a feasible approach for multiple model runs when hundreds of trees are built with many
cluster branches.
Thus, I'd be nice if somebody knows a more programatic approach or another package that allows cutting "centroid"-trees.
/Johannes
On Fri, Jul 11, 2014 at 4:19 PM, David L Carlson <dcarlson at tamu.edu> wrote:
> The easiest workaround is the one you included in your original posting.
> Specify k= and not h=. Examine the dendrogram and decide how many
> clusters are at the level you want. You could add guidelines to the
> dendrogram with
> abline() to make it easier to see the number of clusters at various heights.
>
>
>
> plot(hc)
>
> abline(h=c(20, 40, 60, 80, 100, 120), lty=3)
>
>
>
> David C
>
>
>
> *From:* Johannes Radinger [mailto:johannesradinger at gmail.com]
> *Sent:* Friday, July 11, 2014 3:24 AM
> *To:* David L Carlson; R help
> *Subject:* Re: [R] Cutting hierarchical cluster tree at specific
> height fails
>
>
>
> Hi,
>
>
>
> @David: Thanks for the explanation why this does not work. This of
>
> course makes theoretically sense.
>
>
>
> However in a recent discussion
>
> (
> http://stats.stackexchange.com/questions/107448/spatial-distance-betwe
> en-cluster-means
> )
>
> it was stated that "the 'reversals problem' of centroid method is
>
> not a serious reason to deactivate the option of 'tree cut'". Instead
>
> a warning message should be provided rather than a deactivation.
>
>
>
> So does anyone know how a tree that was created with "centroid" can
> still
>
> be cut at a specific height? I tried the package "dynamicTreeCut", but
> this
>
> also relies on cutree and consequently raises an error when used for
> cutting
>
> "centroid" trees.
>
>
>
> Does anyone know a work around and can provide a minimum working example?
>
>
>
> /Johannes
>
>
>
> On Wed, Jul 9, 2014 at 4:58 PM, David L Carlson <dcarlson at tamu.edu> wrote:
>
> To cut the tree, the clustering algorithm must produce consistently
> increasing height values with no reversals. You used one of the two
> options in hclust that does not do this. Note the following from the
> hclust manual
> page:
>
> "Note however, that methods "median" and "centroid" are not leading to
> a monotone distance measure, or equivalently the resulting dendrograms
> can have so called inversions (which are hard to interpret)."
>
> The cutree manual page:
>
> "Cutting trees at a given height is only possible for ultrametric
> trees (with monotone clustering heights)."
>
> Use a different method (but not median).
>
> -------------------------------------
> David L Carlson
> Department of Anthropology
> Texas A&M University
> College Station, TX 77840-4352
>
>
> -----Original Message-----
> From: r-help-bounces at r-project.org
> [mailto:r-help-bounces at r-project.org]
> On Behalf Of Johannes Radinger
> Sent: Wednesday, July 9, 2014 7:07 AM
> To: R help
> Subject: [R] Cutting hierarchical cluster tree at specific height
> fails
>
> Hi,
>
> I'd like to cut a hierachical cluster tree calculated with hclust at a
> specific height.
> However ever get following error message:
> "Error in cutree(hc, h = 60) :
> the 'height' component of 'tree' is not sorted (increasingly)"
>
>
> Here is a working example to show that when specifing a height in
> cutree() the code fails. In contrast, specifying the number of
> clusters in cutree() works.
> What is the exact problem and how can I solve it?
>
> x <- c(rnorm(100,50,10),rnorm(100,200,25),rnorm(100,80,15))
> y <- c(rnorm(100,50,10),rnorm(100,200,25),rnorm(100,150,25))
> df <- data.frame(x,y)
> plot(df)
>
> hc <- hclust(dist(df,method = "euclidean"), method="centroid")
> plot(hc)
>
> df$memb <- cutree(hc, h = 60) # this does not work df$memb <-
> cutree(hc, k = 3) # this works!
>
> plot(df$x,df$y,col=df$memb)
>
>
> Thank you for your hints!
>
> Best regards,
> Johannes
>
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>
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