Difference between revisions of "Point Clustering"

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m (Added link to "Using Genetic Algorithms in Clustering Problems")
m (Added next paper from GeoComputation 2000)
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* [http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/software/cluster/software.htm#pycluster PyCluster]: Python Cluster Functions
 
* [http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/software/cluster/software.htm#pycluster PyCluster]: Python Cluster Functions
 
* [http://www.geocomputation.org/2000/GC015/Gc015.htm Using Genetic Algorithms in Clustering Problems]: paper from [http://www.geocomputation.org/ GeoComputation] 2000 conference
 
* [http://www.geocomputation.org/2000/GC015/Gc015.htm Using Genetic Algorithms in Clustering Problems]: paper from [http://www.geocomputation.org/ GeoComputation] 2000 conference
 +
* [http://www.geocomputation.org/2000/GC024/Gc024.htm Automatic clustering via boundary extraction for mining massive point-data sets]: paper from [http://www.geocomputation.org/ GeoComputation] 2000 conference

Revision as of 20:18, 22 October 2006

Point Clustering: Various Approaches

Please fill this in with any approaches that you have tried for Point Clustering along with code snippets. Please include discussion on why a particular method worked well or didn't work well and what circumstances it may be good for.

Possible Approaches:

  • Coordinate interleaving
  • K means Clustering
  • Heirarchical Clustering
  • distance calculation for each coordinate pair

References