Abstract:
: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.
journal_name
Biol Directjournal_title
Biology directauthors
Cangelosi R,Goriely Adoi
10.1186/1745-6150-2-2subject
Has Abstractpub_date
2007-01-17 00:00:00pages
2issn
1745-6150pii
1745-6150-2-2journal_volume
2pub_type
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