Home > Mateda2.0 > knowledge_extraction > visualization > SelectEdgesToShow.m

SelectEdgesToShow

PURPOSE ^

[sel_edges] = SelectEdgesToShow(run_structures,const_edg)

SYNOPSIS ^

function[sel_edges] = SelectEdgesToShow(run_structures,const_edg)

DESCRIPTION ^

 [sel_edges] = SelectEdgesToShow(run_structures,const_edg)
 SelectEdgesToShow:    From the set of all the structures learned in all
                       runs, extracts those edges (the indices) that were
                       learned at least const_edg times
 INPUT
 run_structures: Contain the data structures with all the structures
 learned by the probability models in every run and generation (see
 program ReadStructures.m for details.
 const_edg: Number of times that an edge has to be in the learned
 structures to be selected.
 OUTPUT
 sel_edges: Indices of the edges that will be extracted

 Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function[sel_edges] = SelectEdgesToShow(run_structures,const_edg)
0002 % [sel_edges] = SelectEdgesToShow(run_structures,const_edg)
0003 % SelectEdgesToShow:    From the set of all the structures learned in all
0004 %                       runs, extracts those edges (the indices) that were
0005 %                       learned at least const_edg times
0006 % INPUT
0007 % run_structures: Contain the data structures with all the structures
0008 % learned by the probability models in every run and generation (see
0009 % program ReadStructures.m for details.
0010 % const_edg: Number of times that an edge has to be in the learned
0011 % structures to be selected.
0012 % OUTPUT
0013 % sel_edges: Indices of the edges that will be extracted
0014 %
0015 % Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)
0016 
0017 AllSumMatrices = run_structures{3};
0018 
0019 sel_edges = find(sum(AllSumMatrices')> const_edg); 
0020     
0021

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