similar to: Colours in silhouette plots (cluster package)

I'm fairly new to the silhouette functionality in the cluster package, so apologize if I'm asking something naive. If I run the 'agnes(ruspini)' example from the silhouette section of the cluster package vignette, and assign colours to clusters, two clusters have what appear to be incorrect colours in the silhouette plot. library(cluster) data(ruspini) ar<- agnes(ruspini)

Hello, In cluster analysis with cluster, how does one colour the silhouette plots ? For example in using pam. There seems to be some problem there. Everything else can be coloured. Thanks, A. Mani Member, Cal. Math. Soc

Dear R users, I am mailing you about the graphical output of silhouette (cluster package) From the example of silhouette in help(silhouette): > ar <- agnes(ruspini) > si3 <- silhouette(cutree(ar, k = 5), # k = 4 gave the same as pam() above + daisy(ruspini)) > plot(si3, nmax = 80, cex.names = 0.5) from which one may conclude that group 1 is composed by

Dear all, I am trying (without much success) to use the fuction 'silhouette'. Would anyone encountered that before (or would know where I am wrong ?) Please find below the R ouput. Thanks in advance, L. > s <- silhouette(ct, as.dist(metric)) Error in "[<-"(*tmp*, iC, "sil_width", value = s.i) : number of items to replace is not a multiple of replacement

Hello everybody: I have just started using R, specifically the clustering packages. Despite the vastness of the functionality of the system, I have found it very flexible and intuitive. It has been great fun to experiment with it. Nevertheless, I am under tight time constraints to complete a cluster analysis of some data and need to come up with a "quick" solution for the following

Hi list, When I was using 'silhouette' from the 'cluster' package to calculate clustering performances, R crashed. I traced the problem to the fact that my clustering labels only have 2's and 3's. when I replaced them with 1's and 2's, the problem was solved. Is the function purposely written in this way so when I have clustering labels, "2" and

Dear List How do you change the colour settings for the banner/silhouette plot? I am trying to produce a black and white plot of publication quality. Is there a way to set black and white plots as the default for R graphics? Any help greatly appreciated. Graham Leask Economics & Strategy Group Aston University [[alternative HTML version deleted]]

Sorry for the long message. I'm doing my best to try to explain myself. I have fitted a spline to my data, I have fitted a spline, filled in the missing data by replicating the spline coefficients associated to the last node. I obtained a number of dendograms by different combination of distance and link-method by calling DIST and AGNES. The agglomerative coefficient is very high (~ 0.99) for

Hi, I am using code below to get a plot that will show me on the X axis the number of clusters and on the Y axis the cluster average widths. However I am getting this error: Error in summary(silhouette(cutree(d, x), dist(iris[, -5])))$si.summary : $ operator is invalid for atomic vectors the code I am using is: avgs<-sapply(1:20,function(x) summary(silhouette(cutree(d,x),

Hallo Sebastian, >>>>> "SP" == Sebastian P?lsterl <sebp at k-d-w.org> >>>>> on Sun, 14 Jun 2009 14:04:52 +0200 writes: SP> Hello Martin, SP> I plotting the silhouette of a clustering and storing it as png. When I SP> try to store the image as png the bars are missing. The bars are plotted SP> when I use x11 or

I was trying to create a multi-color silhouette plot (each cluster a different color) from clusters created by trimkmeans. This works straighforwardly on an object created from pam however my colors are interwoven when I try the same approach on clusters from trimkmeans. I also tried sorting the silhouette object using sortSilhouette which did not solve the problem. If anyone has a suggestion,

Hi! >library(cluster) In this lib a function called silhoutte.default is defined than on the R prompt it type >silhouette.default Error: Object "silhouette.default" not found R1.9.0 The same error are at R1.8.1 And I knew that a function silhoutte.default are present. But the same piece of code works in R1.6.2 ??? Eryk Dipl. bio-chem. Eryk Witold Wolski @

After ordering the table of membership degrees , i must get the difference between the first and second coloumns , between the first and second largest membership degree of object i. This for K=2,K=3,....to K.max=6. This difference is multiplyed by the Crisp silhouette index vector (si). Too it dependending on K=2,...,K.max=6; the result divided by the sum of these differences I need a final

Dear All, Is there any existing code for plotting silhouette for kmeans clustering results? Many thanks! Linda [[alternative HTML version deleted]]

On Tuesday 28 June 2005 15:30, r-help-request at stat.math.ethz.ch wrote: Re : 37. Re: A. Mani : colours in Silhouette (Mulholland, Tom) > > Message: 37 > Date: Tue, 28 Jun 2005 09:08:24 +0800 > From: "Mulholland, Tom" <Tom.Mulholland at dpi.wa.gov.au> > Subject: Re: [R] A. Mani : colours in Silhouette > To: <a_mani_sc_gs at vsnl.net>, <r-help at

Hi, I am using fanny and I have estrange results. I am wondering if someone out there can help me understand why this happens. First of all in most of my tries, it gives me a result in which each object has equal membership in all clusters. I have read that that means "the clustering is entirely fuzzy". Looking at the graphics it is really difficult to understand how objects with so

> On 18 May 2017, at 14:51, peter dalgaard <pdalgd at gmail.com> wrote: > > >> On 18 May 2017, at 13:47 , Joris Meys <jorismeys at gmail.com> wrote: >> >> Correction: Also dlt uses the default timezone, but POSIXlt is not recalculated whereas POSIXct is. Reason for that is the different way values are stored (hours, minutes, seconds as opposed to minutes

Hi: I have calculated the Silhouette score and Dunn score after hierarchical clustering for 3 clusters: #Distance measure d <- dist(USArrests, method = "euclidean") #Hierarchical clustering hc <- hclust(dist(USArrests), "ave") #calculating silhouette value for 3 clusters sil<- silhouette(cutree(hc, k=3), d) #calculating Dunn index for 3 clusters clus <- cutree(hc,

> On 18 May 2017, at 14:58 , Martyn Plummer <plummerM at iarc.fr> wrote: > > > >> On 18 May 2017, at 14:51, peter dalgaard <pdalgd at gmail.com> wrote: >> >> >>> On 18 May 2017, at 13:47 , Joris Meys <jorismeys at gmail.com> wrote: >>> >>> Correction: Also dlt uses the default timezone, but POSIXlt is not recalculated

I'm attempting to modify how biplot draws its red vectors (among other things). This is how I've started: Biplot <- function(xx, comps = c(1, 2), cex = c(.6, .4)) { ## Purpose: Makes a biplot with princomp() object to not show arrows ## ---------------------------------------------------------------------- ## Arguments: xx is an object made using princomp() ##