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Clustering data and searching optimal cutoff employing VIF criterion 1.0
File ID: 82894






Clustering data and searching optimal cutoff employing VIF criterion 1.0
Download Clustering data and searching optimal cutoff employing VIF criterion 1.0http://www.onlyadd.com/script/Report Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 79
User Rating:1 Stars  (1 rating)
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Clustering data and searching optimal cutoff employing VIF criterion 1.0 Description
Description: 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 (as
rule of thumb VIF=10).
Searching procedure is the variaition of bisection method, so it's
complexity is log(n) at most. At each iteration it chooses one item
from every clusters, constructs correlation matrix of these items and
look at diagonal element of its inverse.

License: Shareware

Related: inverse, Elements, Correlation, Matrix, vif, Thumb, diagonal, linearly, verifying, Approach

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 79



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