[Traminer-users] Antw: Re: Antw: selecting the number of clusters

Rimantas Vosylis rvosylis at live.com
Thu Jun 11 11:03:07 CEST 2015

Dear Gilbert,indeed I found the WeightedCluster package last night and it did help me bigtime in my analysis. In fact I rerun everything with PAM clustering and got better results. So thanks for this reference - it I would not have found it myself that would be a big help!

From: Gilbert.Ritschard at unige.ch
To: traminer-users at lists.r-forge.r-project.org
Date: Thu, 11 Jun 2015 07:06:19 +0000
Subject: Re: [Traminer-users] Antw: Re: Antw: selecting the number	of	clusters

Did you look at the possibilities offered by the WeightedCluster package of Matthias Studer? The package comes with a vignette that nicely documents the proposed

From: traminer-users-bounces at lists.r-forge.r-project.org
 [mailto:traminer-users-bounces at lists.r-forge.r-project.org] On Behalf Of 
Rimantas Vosylis

Sent: Wednesday, June 10, 2015 17:40

To: 'Users questions'

Subject: Re: [Traminer-users] Antw: Re: Antw: selecting the number of clusters

Dear Gerhard,
Indeed it is possible to input the distance martix, but it is also mandatory to specify the data
L I tried to input the sequence object as data but it does not work
I will look through the literature You suggested!


traminer-users-bounces at lists.r-forge.r-project.org [mailto:traminer-users-bounces at lists.r-forge.r-project.org]
On Behalf Of Gerhard Wührer

Sent: Wednesday, June 10, 2015 1:55 PM

To: traminer-users at lists.r-forge.r-project.org

Subject: [Traminer-users] Antw: selecting the number of clusters




please try the R - package 'nbclust' do decide how many clusters are feasable. In addition to that statistical measures,
 inspect the different cluster solutions by content and how meaningful interpretations are. You can also do some kind of x-square test where you align the clusters with variables not used in the cluster analysis.  At least you have some kind of face validity.


Best regards - Gerhard A. Wührer




o. Univ.-Prof. Dkfm. Dr. Gerhard A. Wührer

Institut für Handel, Absatz und Marketing

Johannes Kepler Universität Linz

Altenberger Str. 69

4040 Linz/Austria

tel.: 004373224689401


mail: gerhard.wuehrer at jku.at




>>> Rimantas Vosylis <rvosylis at live.com> 10.06.2015
 12:30 >>>

Dear Traminer users,


I am trying to build a typology of sequences by using cluster analysis with OM and Ward algorith.


I have a problem of choosing the number of clusters. I use several empirical indexes, but they don‘t help me a lot. I use Calinski
 and harabasz (CH) index, but it has a peak at two cluster solution and the goes down. I also use average shilloute width but it gives me the similar results as CH index. I also run pseudo ANOVA to see which cluster solution explains most variance, but it tells
 me the opposite – the more the clusters the higher the pseudo R2 gets. When I look at the various plots (e.g. seqdplot) I see that the most meaningful solutions (I have several types of sequences) lie somewhere between 4-6 clusters.


Could You perhaps suggest which indexes worked best for You and matched Your expectations / theoretical knowledge and that I could
 use in my analysis?


Thank You in advance!!





Rimantas Vosylis

PhD student, lecturer

Insitute of Psychology

Faculty of Social Technologies

Mykolas Romeris University


rimantasv at mruni.eu

rvosylis at live.com



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