Nvalidate: Difference between revisions

Revision as of 11:08, 2 August 2016

Validate the number PARAFAC or Tucker components.

result = nvalidate(x,ncomp,method,options);

nvalidate(result,x) %Plot earlier results

nvalidate(x,1:3,'parafac') % Validate 1-3 component PARAFAC models

nvalidate(x,[1 1 1;3 3 3],'tucker') % validate [1 1 1] to [3 3 3] comp Tucker3 models

The outputs of the nvalidate function are returned as a struct with the following fields

ssq The sum-squared error. What to look for: look for sudden changes as in a Scree-Plot(often difficult) and look for sudden increase in number of local minima (replicate points for a number of components are not identical). This is often a good indication that noise is being modeled.

models Cell of models where element {f,r} is the r'th model replicate fit with f components

@@ Line 16: / Line 16: @@
 * '''x'''
+===Outputs ===
+The outputs of the nvalidate function are returned as a struct with the following fields
+* '''ssq'''  The sum-squared error.  What to look for:  look for sudden changes as in a Scree-Plot(often difficult) and look for sudden increase in number of local minima (replicate points for a number of components are not identical).  This is often a good indication that noise is being modeled.
+* '''models''' Cell of models where element {f,r} is the r'th model replicate fit with f components