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Performs hierarchical clustering of data using specified method and seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)". Namely, it searches cutoff where groups are independent. The techinque uses an econometric approach of verifying that variables in multiple regression are linearly independent: if all the diagonal elements of inverse correlation matrix of data are less than VIF-Performs hierarchical clustering of data using specified method and seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al- Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)". Namely, it searches cutoff where groups are independent. The techinque uses an econometric approach of verifying that variables in multiple regression are linearly independent: if all the diagonal elements of inverse correlation matrix of data are less than VIF
Date : 2026-01-09 Size : 2kb User : tra ba huy
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