SOMB {MLInterfaces}R Documentation

An interface to self-organizing map methods for exprSets

Description

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)

Arguments

exprObj An instance of the exprset class.
classifLab A vector of class labels.

Details

You may pass additional parameters, see SOM or som for details.

Value

An object of class SOMBoutput or somBoutput

Author(s)

Jess Mar, VJ Carey <stvjc@channing.harvard.edu>

Examples

# 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)

[Package MLInterfaces version 1.2.1 Index]