Jenny Bryan
Visualization of clustering results based on resampling
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We will discuss various methods of assessing the sampling variability in
clustering results and propose useful graphs for visualizing the sampling
distribution of resampled cluster results.  The motivation for this is the
importance of gene clustering and gene classification in genomic studies,
particularly DNA microarray studies of gene expression. Various clustering
methods, includding both hierarchical and partition-based algorithms,
provide biologically useful data summaries and it seems important to
accompany objects like dendrograms or silhouette plots with something
analogous to a standard error.  We are packaging these functions into an R
package, with Bioconductor compatibility.