📄 orderbysupconf.m
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%-------------------------------------------------------------------------------------
%ARMADA - Association Rule Mining And Deduction Analysis
%Desciprtion: Data Mining Tool for extraction of association rules and analysis
% of deduction methods.
%Author&
%Copyright: James Malone
%Date: 14/04/03
%Version: 1.2
%-------------------------------------------------------------------------------------
%-------------------------------------------------------------------------
%Function to order rules by Support and Confidence
function resorted_rules2 = orderBySupConf(order_rules)
%Seperate support and confidence from rules for plotting purposes-----------
c=1;
%For each set of a size of LHS
for a=1:size(order_rules,2)
%For each rule within that size set
for b=1:size(order_rules{a},2)
one_array_rules{c} = order_rules{a}{b}{1};
%Create an index for ordering the array
presort_index(c,1)=order_rules{a}{b}{2}; %copy each support over
presort_index(c,2)=order_rules{a}{b}{3}; %copy each confidence over
presort_index(c,3)=c; %copy elements current position in array
c=c+1;
end
end
index=sortrows(presort_index,[1,2]);
%sort by index---------------------------------------
a=1;
for b=1:size(index,1)
c = index(b,3);
resorted_rules{b} = one_array_rules{c} ;
end
%----------------------------------------------------
%reverse order for biggest first
a=size(resorted_rules,2);
for b=1:size(resorted_rules,2)
resorted_rules2{b} = resorted_rules{a};
a=a-1;
end
%End----------------------------------------------------------------------
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