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Re: Clustering algorithm Mathematica 7
Posted:
Nov 21, 2009 3:42 AM


Jan Baetens wrote: > Hi all, > > Currently, I'm using the builtin clustering algorithm of Mathematica 7, > though it isn't clear for me which algorithm it actually is since this > is not mentioned in the extended help pages. Presumably, it's the normal > Kmeans clustering but I'm not sure. > > As such, I'd like know whether someone knows which implementation is > used in Mathematica 7 for data clustering. > > Thanks, > > Jan > >
The default is kmedoids. Agglomerative clustering is also included as a method option. Brief discussion of the methods is included in the documentation. This can be found by entering
tutorial/PartitioningDataIntoClusters
in the Documentation Center or online at
http://reference.wolfram.com/mathematica/tutorial/PartitioningDataIntoClusters.html
Here are some references about the methods that you might also find useful:
L. Kaufman and P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, New York: John Wiley & Sons, 1990.
P. J. Rousseeuw, Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis, J Comput. Appl. Math., 20, 1987, 5365.
R. Tibshirani, G. Walther, and T. Hastie, Estimating the Number of Clusters in a Dataset Via the Gap Statistic. Stanford Univ. Tech. report. March 2000. (published Journal of the Royal Statistical Society, B, 63, 2001, 411423.)
Darren Glosemeyer Wolfram Research



