| MLIclust {MLInterfaces} | R Documentation | 
This document describes a family of wrappers to R functions
that perform clustering of multivariate datasets.
For example, the
kmeansB function is a wrapper for a call to kmeans for objects
of class exprSet. The interfaces of MLInterfaces provide a common calling
sequence and common return value for machine learning code.
kmeansB(exprObj, k , iter.max, metric = "euclidean")
| exprObj | An instance of the exprsetclass. | 
| k | The number of clusters | 
| iter.max | The maximum number of iterations to perform. | 
| metric | See knnfor a complete description. | 
See kmeans for a complete description, and for other
functions named [f]B, see the documentation on f.
An object of class clustOutput-class.
Jess Mar, VJ Carey <stvjc@channing.harvard.edu>
##get these from the source files library(golubEsets) data(golubMerge) smallG <- golubMerge[1:60,] set.seed(1234) # needed for nnet initialization kmeansB( smallG, k=4 ) agnesB( smallG, k=5, height=0, FALSE ) dianaB( smallG, k=5, height=0, FALSE ) pamB( smallG, k=5, height=0, FALSE ) bclustB( smallG, k=5, height=0 ) cmeansB( smallG, k=5, height=0 ) cshellB( smallG, k=5, height=0 , iter.max=1) #lcaB( BsmG, k=3 ) hclustB( smallG, k=4 ) hclustB( smallG, height=40000 )