Mathematical Programming Approaches to Classification Problems

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Dataset</td><td align="center">Normality</td><td align="center">Equality of the variance-covariance matrices (<svg height="16.65" id="M418" style="vertical-align:-3.7118pt" version="1.1" viewbox="0 0 60.262501 16.65" width="60.262501" xmlns="http://www.w3.org/2000/svg">
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<tspan style="font-size: 8.75px; " x="0" y="0">2</tspan>
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</svg>)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">D1</td><td align="center">Unverified</td><td align="center">Verified</td></tr><tr><td align="left">D2</td><td align="center">Unverified</td><td align="center">Unverified</td></tr><tr><td align="left">D3</td><td align="center">Unverified</td><td align="center">Verified</td></tr><tr><td align="left">D4</td><td align="center">Unverified</td><td align="center">Unverified</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Normality test and equality of the variance-covariance matrices.

Advances in Operations Research

tab1

Table 1

Table 1: Mathematical Programming Approaches to Classification Problems 