| SOMB {MLInterfaces} | R Documentation | 
Self-organizing maps are covered in various machine learning
reviews.  These can be viewed as clustering procedures
analogous to kmeans but with a constraint
on the complexity of the subspace in which the cluster-defining
prototypes are identified.
The outputs of som and SOM are
not easily formulated as clustOutput-class instances,
so classes that extend list are used as output containers.
SOMB(exprObj, classifLab) somB(exprObj, classifLab)
| exprObj | An instance of the exprsetclass. | 
| classifLab | A vector of class labels. | 
You may pass additional parameters, see SOM
or som for details.
An object of class SOMBoutput or somBoutput
Jess Mar, VJ Carey <stvjc@channing.harvard.edu>
# access and trim an exprSet library(golubEsets) data(golubMerge) smallG <- golubMerge[1:60,] # set a PRNG seed for reproducibilitiy set.seed(1234) # needed for nnet initialization # now run the classifiers #somB( smallG, "ALL.AML", 3) SOMB( smallG, "ALL.AML", 3)