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

[Gerhard Wührer]

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** Reply Requested When Convenient **

Dear Rimantas,

I used nbclust for other distance matrices, originating from  other
cluster/segment analysis. If you have the distance matrix, I think you
can input that into nbclust? It may also happen, that there are really
now clusters and the increase of the errors sum follows a monotone
pattern. Please have also a look at the additional literature to be
found with the traminer-package.


Best regards - Gerhard





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
fax.:004373224689404
mail: gerhard.wuehrer at jku.at
URL: www.marketing.jku.at
 


>>> Rimantas Vosylis <rvosylis at live.com> 10.06.2015 16:44 >>>
Dear Professor Gerhard,
I tried the NbClust package, but it does not seem to work for analysis
of the sequences. Thing is that it has one mandatory argument data which
is used to indicate the dataset. However, in sequence analysis this is
the sequences of numbers/symbols rather than the vector(s) of numeric
variable values. Even though it is possible to specify the distance
matrix, it still requires the actual dataset and in my impression, it is
not possible to overcome this. 
If you have successfully used this package for sequence analysis, could
You possibly copy paste the function that You have used for the
calculation of the fit indices?
Thank You in advance!
Rimantas
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 3:36 PM
To: 'Users questions'
Subject: Re: [Traminer-users] Antw: selecting the number of clusters
 
Dear Gerhard,
Thank You for this suggestion!
Sincerely
Rimantas
 
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
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
 
Hello,
 
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
fax.:004373224689404
mail: gerhard.wuehrer at jku.at
URL: www.marketing.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!!
 
 
Sincerely,
 
Rimantas Vosylis
PhD student, lecturer
Insitute of Psychology
Faculty of Social Technologies
Mykolas Romeris University
 
e-mail: rimantasv at mruni.eu
e-mail2: rvosylis at live.com
 
 
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