Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Rank</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">eNSGA-II</td><td class="align_center">2.19</td></tr><tr><td class="align_left">NSGA-II</td><td class="align_center">2.27</td></tr><tr><td class="align_left">eSPEA-II</td><td class="align_center">2.46</td></tr><tr><td class="align_left">SPEA-II</td><td class="align_center">3.08</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Friedman test ranking for eNSGA-II, eSPEA-II, NSGA-II, and SPEA-II algorithms using the F-measure.</div>

Applied Computational Intelligence and Soft Computing

tab6

Table 6

Table 6: Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms 