[R] about mix type clust algorithm

Jose Iparraguirre Jose.Iparraguirre at ageuk.org.uk
Mon Jul 22 13:12:25 CEST 2013

Dear Cheng,

This question exceeds the topics of this group. However, you may benefit from this recent (and excellent) paper along with the discussions:

Henning, C. and T. Liao (2013). "How to find an appropriate clustering for mixed-type variables with application to socio-economy stratification", Journal of Applied Statistics, Vol. 62, Part 3, pp. 309-369.



Prof. José Iparraguirre
Chief Economist
Age UK

Profesor de Economía
Universidad de Morón
Morón, Buenos Aires, Argentina

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Cheng, Yi
Sent: 22 July 2013 07:23
To: r-help at r-project.org
Subject: [R] about mix type clust algorithm

I have tried to find the appropriate clust algorithm for mixed type of data.
The suggested way I see is:

1.       use daisy to get the dissimilarity matrix

2.       use PAM/hclust by providing the dissimilarity matrix, to get the clusters
but by following this, when the data set grows bigger say 10,000 rows of data, the dissimilarity matrix will be O(n^2), and out of memory will occur.
I am wondering is there any better ways to do the mixed type cluster?

Cheng Yi

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