That does not sound like a clustering problem at all since you already know the desired characteristics and are not trying to discover structure in your data. Simply define a score as a suitably weighted sum of individual features, order your passengers by that score, and pick the top few, or any that exceed a threshold etc.
Not really an R problem at this point though. B. On Apr 22, 2015, at 12:54 AM, Lalitha Kristipati <lalitha.kristip...@techmahindra.com> wrote: > Hi, > > I want to do a use case in R language. My problem statement is to upgrade the > passengers from one membership level to another membership level in airlines > based on their characteristics. It is like customer profiling based on their > usage characteristics. Suggest a method that intakes a large amount of data > and cluster them based on their characteristics and helps in knowing the > passengers who are upgraded to another level . > Any help is appreciated. > > Regards, > Lalitha Kristipati > Associate Software Engineer > > > > ============================================================================================================================ > Disclaimer: This message and the information contained herein is proprietary > and confidential and subject to the Tech Mahindra policy statement, you may > review the policy at http://www.techmahindra.com/Disclaimer.html externally > http://tim.techmahindra.com/tim/disclaimer.html internally within > TechMahindra. > ============================================================================================================================ > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
