Mutual Information In probability theory and information theory: ConstructLGObj( OriginalSample ) - File Exchange

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Highlights from
Mutual Information In probability theory and information theory

ConditionalProbability( MDCOb...
ConditionallyIndependent_Mutu... VarData1,VarData2,and ConditionalData must have the same number of rows
ConstructLGObj( OriginalSampl...
DimensionRangeValue(OriginalD... Input: OrigninalData
DiscardNoneExist( OriginalDat... This function return a matric indicating the useful rows in OriginalData.
MarginallyIndependent_MutualI... calculate the mutual information between two variables
MutualInformationWeightMatric... This function builds a matric that measures the weight( Ip(Ci, Cj) ) between node i and
ControlCentor.m
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from Mutual Information In probability theory and information theory by Guangdi Li
Code for marginally and conditional mutual information in probability and information theory

ConstructLGObj( OriginalSample )

function LGObj = ConstructLGObj( OriginalSample )

    LGObj.VarNumber = size( OriginalSample,2 );
    LGObj.CaseLength = size( OriginalSample,1 );
    
    LGObj.VarSample   = OriginalSample;
    [ LGObj.VarRange,LGObj.VarRangeLength ] = DimensionRangeValue( OriginalSample,1 : LGObj.VarNumber );
    
end

Highlights from Mutual Information In probability theory and information theory

Highlights from
Mutual Information In probability theory and information theory