A Hybrid Monkey Search Algorithm for Clustering Analysis

<table class="table-group" id="tab10"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left">Algorithm</td><td align="center">Best</td><td align="center">Worst</td><td align="center">Mean</td><td align="center">Standard</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">ABC-MA</td><td align="center">1423.8205</td><td align="center">1424.1142</td><td align="center">1423.8507</td><td align="center"><span style="width: 85.6875px;"><svg height="11.175" id="M255" style="vertical-align:-0.20474pt" version="1.1" viewbox="0 0 85.6875 11.175" width="85.6875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td align="left">MA</td><td align="center">1423.8243</td><td align="center">1423.8306</td><td align="center">1423.8267</td><td align="center"><span style="width: 85.6875px;"><svg height="11.175" id="M256" style="vertical-align:-0.20474pt" version="1.1" viewbox="0 0 85.6875 11.175" width="85.6875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td align="left">CABC</td><td align="center">1423.8206 </td><td align="center">1424.2445</td><td align="center">1423.9109</td><td align="center"><span style="width: 85.6875px;"><svg height="11.125" id="M257" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 85.6875 11.125" width="85.6875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td align="left">ABC</td><td align="center">1423.8308</td><td align="center">1424.1153</td><td align="center">1423.9238</td><td align="center"><span style="width: 85.6875px;"><svg height="11.125" id="M258" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 85.6875 11.125" width="85.6875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td align="left">CPSO</td><td align="center">1425.4801</td><td align="center">1437.6195</td><td align="center">1431.8260</td><td align="center">2.9772</td></tr><tr><td align="left">PSO</td><td align="center">1430.4749</td><td align="center">1447.6403</td><td align="center">1437.1546</td><td align="center">4.3708</td></tr><tr><td align="left"><svg height="12.4375" id="M259" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 8.6750002 12.4375" width="8.6750002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,12.162)"><path d="M480 416q0 -21 -18 -41q-9 -11 -17 -7q-20 9 -42 9q-62 0 -140 -78q23 -69 88 -192q17 -31 27 -42t20 -11q16 0 62 46l17 -20q-64 -92 -119 -92q-35 0 -70 66q-41 73 -84 187q-36 -30 -62 -61q-27 -115 -35 -172q-41 -8 -78 -20l-6 6l140 612q7 28 0.5 34t-37.5 7l-34 1
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</svg>-means</td><td align="center">1423.8514</td><td align="center">1434.0441</td><td align="center">1426.7539</td><td align="center">3.1208</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Results obtained by the algorithms for 20 different runs on balance scale data.

The Scientific World Journal

tab10

Table 10

Table 10: A Hybrid Monkey Search Algorithm for Clustering Analysis 