A Support Vector Classifier Based on Vague Similarity Measure

<div class="floats-full-page floats-full-page-other"><h2>Table 1</h2><div class="floats-full-page-caption">Characteristics of experimental data sets.</div><div class="floats-full-page-content"><table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr class="thead"><td align="left">Dataset</td><td align="center">No. of samples</td><td align="center">No. of attributes</td><td align="center">No. of classes</td></tr><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr><td align="left"><i>Ionosphere </i></td><td align="center">351</td><td align="center">34</td><td align="center">2</td></tr><tr><td align="left"><i>Sonar </i></td><td align="center">208</td><td align="center">60</td><td align="center">2</td></tr><tr><td align="left"><i>Pima-diabetes </i></td><td align="center">768</td><td align="center">8</td><td align="center">2</td></tr><tr><td align="left"><i>Wdbc </i></td><td align="center">569</td><td align="center">30</td><td align="center">2</td></tr><tr><td align="left"><i>Iris </i></td><td align="center">150</td><td align="center">43</td><td align="center">3</td></tr><tr><td align="left"><i>Vehicle </i></td><td align="center">846</td><td align="center">18</td><td align="center">4</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 1 | A Support Vector Classifier Based on Vague Similarity Measure

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Table 1: A Support Vector Classifier Based on Vague Similarity Measure

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