Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms

<table class="table-group" id="tab4"><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">Instances</td><td align="center">Attributes</td><td align="center">Clusters</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">Iris</td><td align="center">150</td><td align="center">4</td><td align="center">3</td></tr><tr><td align="left">Wine</td><td align="center">178</td><td align="center">13</td><td align="center">3</td></tr><tr><td align="left">Haberman’<br/>s survival</td><td align="center">306</td><td align="center">3</td><td align="center">2</td></tr><tr><td align="left">Libras</td><td align="center">360</td><td align="center">91</td><td align="center">15</td></tr><tr><td align="left">Synthetic </td><td align="center">600</td><td align="center">60</td><td align="center">6</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The Scientific World Journal

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Table 4

Table 4: Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms 