quadraticSampleClassification(discrimRuleCoefList, m_dap)

function classificationList = quadraticSampleClassification(discrimRuleCoefList, m_dap)

classificationList = cell(1, m_dap.constants.numGrp);

data = m_dap.datasets.classifySample;
dataLen = size(data, 1);

noCV.D = 1;
noCV.detD = 1;
for dataIdx = 1:dataLen
    for j = 1:m_dap.constants.numGrp
        constCoef = discrimRuleCoefList{j}{1};
        linCoef = discrimRuleCoefList{j}{2};
        quadCoef = discrimRuleCoefList{j}{3};
        dataElem = data(dataIdx,:);
        dQ(j) = dataElem * quadCoef * dataElem' + linCoef * dataElem' + constCoef;
    end
    [dummy, group] = max(dQ);
    classificationList{group} = [classificationList{group}, dataIdx];
end