search for: clusteranalysi

Dear all, i performed a clusteranalysis - which worked so far... i plotted the dendrogram and sooo many branches, a rough sketch would be enough ;) i tried max.levels therefore which worked, but not for the plot... i used the following plot(hcd,nodePar =nP, str(hcd,max.level=1)) the output on the terminal was: --[dendrogram w/ 2...

Hello, in marketing-science field i do some clusteranalysis and get the experience that the scale cause the results dramatic! What recommendation can somebody give me, when i use nominal-variables(recode to 0/1 variables) with 6 point ordinal-variables. Is it better toDo a z-transformation with the ordinal variables , or should i recode this values in 0/...

..."hclust" hclust(d, method = "complete", members=NULL) But the R reference says d must be "a dissimilarity structure as produced by dist." But the dist function does not have a method chisquared-test or something similar. So does anybody have an idea how I can do a clusteranalysis with a chi-squared test and then use a fusion algorithm to join the clusters? Thanks Thorsten [[alternative HTML version deleted]]

Dear all, i have a little trouble with cutting an understanding the handling of dendrogram and hclust. plotting clusters does work and it delivers a dendrogram. the problem is that the dendrogram shows lots of pretty small clusters and only some larger ones. i know that this has to do with my data. But is there possibility to tell the plot function just to plot the clusters with more than

HI, (1) ...thanks for the last comments to tcltk & Win2000. (2) - i'm newbie in tcl/tk but would like learn fast and develop (learning by doing) a tcl/tk clusterAnalysis application which combine some clusterMethods from different Rpackages. i use the tkttest.R example as "reference" and become not finished for my "first" step???? (3) how is it possible that the code from the tkttest.R example would be execute and not only print to the screen;...

...the data in some other format, e.g. with colloumns: "philospher_1", "philospher_2", "philospher_3" etc. and then have the cell hold the particular ranking (score) for that philospher (i.e. a number between 1:10) I guess such a transformation would also allow me to do clusteranalysis? - But how to do it??? Anyways: what I have done so far is to compute a 10*10 matrix in a spreadsheet application. I do this by countif(range_choice1=philospher1)*10 for each philospher. In ?range_choice2? I multiply by 9, and in ?range_choice3? I multiply with 8 etc. The corresponding matrix I...