Journal
BIOLOGY DIRECT
Volume 2, Issue -, Pages -Publisher
BMC
DOI: 10.1186/1745-6150-2-2
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Shannon entropy is used to provide an estimate of the number of interpretable components in a principal component analysis. In addition, several ad hoc stopping rules for dimension determination are reviewed and a modification of the broken stick model is presented. The modification incorporates a test for the presence of an effective degeneracy among the subspaces spanned by the eigenvectors of the correlation matrix of the data set then allocates the total variance among subspaces. A summary of the performance of the methods applied to both published microarray data sets and to simulated data is given.
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