Dear Ingmar, Thank you for your reply, I hope I answer your question ---
A couple specific applications I have in mind: * We work with customers to reduce energy consumption from use of hot water. Baseline data was gathered at several locations by attaching a temperature sensor downstream from a hot water valve and recording the temperature every two minutes, over 10 days. Example questions: how many times was hot water used? What was the average duration? What were the average temperatures of the hot water? * We have products that have a 3-stage lifecycle: 1) ramp-up => 2) steady-state => 3) end of life. Performance is different in each stage. Data is gathered by attaching sensors to the product, and continuously monitoring. Example questions for each stage: What was the average duration? What was the average performance? I'm not very familiar with markov processes, and don't know what detail is necessary to specify a transition matrix. The processes have not been regular/predictable/cyclical enough to consider time series analyses. Thanks, Paul ========================================================= Message: 123 Date: Fri, 13 Mar 2009 10:45:45 +0100 From: Ingmar Visser <i.vis...@uva.nl> Subject: Re: [R] Time-Ordered Clustering To: "Prew, Paul" <paul.p...@ecolab.com> Cc: r-help@r-project.org Message-ID: <38589632-d0db-4466-8a69-887b9beef...@uva.nl> Content-Type: text/plain; charset=US-ASCII; format=flowed; delsp=yes Dear Paul, Could you be more specific about what you mean here? I don't know the Runger paper so it's hard to tell what it is that you're looking for. Blatant plug: I developed a package for hidden Markov models called depmixS4 that in some sense does what you want: clustering taking dependencies over time into account by specifying a transition matrix. Similarly, there are other packages that fit similar models, searching for hidden markov model provides a number of them. hth, Ingmar Visser On 12 Mar 2009, at 23:39, Prew, Paul wrote: > Hello All, > > Does anyone know of a package that performs constraint-based clusters? > Ideally the package could perform "Time-Ordered Clustering", a > technique > applied in a recent journal article by Runger, Nelson, Harnish > (using MS > Excel). Quote, "in our specific implementation of constrained > clustering, the clustering algorithm remains agglomerative and > hierarchical, but observations or clusters are constrained to only > join > if they are adjacent in time." CRAN searches using variants of > "cluster" and/or "constraint" and/or "time" etc. didn't yield > anything I > could recognize. > > Thank you, > Paul > > > Paul Prew > Ecolab > Eagan, MN > paul.p...@ecolab.com > CONFIDENTIALITY NOTICE: =\ \ This e-mail communication a...{{dropped: > 12}} CONFIDENTIALITY NOTICE: =\ \ This e-mail communication a...{{dropped:12}} ______________________________________________ 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.