From: rsteckel2@yahoo.com   
      
   fbenavent@cogitoergosum.com (Francesc Benavent) wrote in message   
   news:<409ed8bb$1@news.unimelb.edu.au>...   
   > Hi Ryan,   
   >   
   > > If I have a 100 feature sets, (each containing say 7 items), how does   
   > > this get mapped to a two dimensional graph to visualize a cluster? I   
   > > could understand if my feature set contained two items (map each item   
   > > to an axis).   
   >   
   > What you are looking for is caled MDS (Multidimensional scaling), is   
   > an algorithm to obtain a set of bidimensional points which had the   
   > property that distances between each two points are the same that the   
   > "distance" between the original n-dimensional sets.   
   >   
   > The 2D points that you obtain are only usefull as a visualization   
   > tool, but sometimes it is needed. Some time ago I found some articles   
   > about it but I dont remember when, try to find:   
   >   
   > - "An Introduction to MDS" by Florian Wickelmaier   
   >   
   > - "Multidimensional Scaling, Encyclopedia of Cognitive Science" by   
   > Matk Steyvers   
   >   
   > And a PowerPoint tutorial called "Lecture 5: Multidimensional Scaling   
   > and Cluster Analysis", sorry no authorship available.   
   >   
   > regards,   
   >   
   > Francesc   
   >   
      
   That's just what I was looking for.   
      
   Thank you.   
      
   (Thanks to James X. Li also.)   
      
   [ comp.ai is moderated.  To submit, just post and be patient, or if ]   
   [ that fails mail your article to , and ]   
   [ ask your news administrator to fix the problems with your system. ]   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)