[R] cluster analysis and supervised classification: an alternative to knn1?

Christian Hennig chrish at stats.ucl.ac.uk
Thu May 27 16:37:38 CEST 2010

> Christian wrote:
>> and the implement
>> nearest neighbours classification myself if I needed it.
>> It should be pretty straightforward to implement.
> Do you intend modify the code of the knn1() function by yourself?

No; if you understand what the nearest neighbours method does, it's not 
very complicated to implement it from scratch (assuming that your dataset 
is small enough that you don't have to worry too much about optimising 
computing times). A bit of programming experience is required, though. 
(It's not that I intend to do it right now, I suggest that you do it if 
you can...)


> thanks to everyone!
> --
> View this message in context: http://r.789695.n4.nabble.com/cluster-analysis-and-supervised-classification-an-alternative-to-knn1-tp2231656p2233210.html
> Sent from the R help mailing list archive at Nabble.com.
> ______________________________________________
> R-help at 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.

*** --- ***
Christian Hennig
University College London, Department of Statistical Science
Gower St., London WC1E 6BT, phone +44 207 679 1698
chrish at stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche

More information about the R-help mailing list