Thanks for the article, Jose! It looks very interesting.
On Mon, Jul 22, 2013 at 7:12 AM, Jose Iparraguirre < jose.iparragui...@ageuk.org.uk> wrote: > 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. > > Regards, > > José > > Prof. José Iparraguirre > Chief Economist > Age UK > > Profesor de Economía > Universidad de Morón > Morón, Buenos Aires, Argentina > > > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of Cheng, Yi > Sent: 22 July 2013 07:23 > To: r-help@r-project.org > Subject: [R] about mix type clust algorithm > > Hi: > 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 > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > The Wireless from Age UK | Radio for grown-ups. > > www.ageuk.org.uk/thewireless > > > If youre looking for a radio station that offers real variety, tune in to > The Wireless from Age UK. > Whether you choose to listen through the website at > www.ageuk.org.uk/thewireless, on digital radio (currently available in > London and Yorkshire) or through our TuneIn Radio app, you can look forward > to an inspiring mix of music, conversation and useful information 24 hours > a day. > > > > > ------------------------------- > Age UK is a registered charity and company limited by guarantee, > (registered charity number 1128267, registered company number 6825798). > Registered office: Tavis House, 1-6 Tavistock Square, London WC1H 9NA. > > For the purposes of promoting Age UK Insurance, Age UK is an Appointed > Representative of Age UK Enterprises Limited, Age UK is an Introducer > Appointed Representative of JLT Benefit Solutions Limited and Simplyhealth > Access for the purposes of introducing potential annuity and health > cash plans customers respectively. Age UK Enterprises Limited, JLT > Benefit Solutions Limited and Simplyhealth Access are all authorised and > regulated by the Financial Services Authority. > ------------------------------ > > This email and any files transmitted with it are confidential and intended > solely for the use of the individual or entity to whom they are > addressed. If you receive a message in error, please advise the sender and > delete immediately. > > Except where this email is sent in the usual course of our business, any > opinions expressed in this email are those of the author and do not > necessarily reflect the opinions of Age UK or its subsidiaries and > associated companies. Age UK monitors all e-mail transmissions passing > through its network and may block or modify mails which are deemed to be > unsuitable. > > Age Concern England (charity number 261794) and Help the Aged (charity > number 272786) and their trading and other associated companies merged > on 1st April 2009. Together they have formed the Age UK Group, dedicated > to improving the lives of people in later life. The three national > Age Concerns in Scotland, Northern Ireland and Wales have also merged with > Help the Aged in these nations to form three registered charities: > Age Scotland, Age NI, Age Cymru. > > > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
