Analysis of Simple <i>K-</i>Mean and Parallel <i>K-</i>Mean Clustering for Software Products and Organizational Performance Using Education Sector Dataset

<table class="table-group" id="tab17"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_center" colspan="5"><i>K</i> = 2</td></tr><tr class="thead"><td class="align_left">S#</td><td class="align_center">Elapsed time</td><td class="align_center"># of data items in cluster 1</td><td class="align_center"># of data items in cluster 2</td><td class="align_center">Total data items</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">14.0</td><td class="align_center">5392</td><td class="align_center">4608</td><td class="align_center">10000</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Elapsed time of Simple <i>K-</i>Mean for <i>k</i> = 2.</div>

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Table 17

Table 17: Analysis of Simple <i>K-</i>Mean and Parallel <i>K-</i>Mean Clustering for Software Products and Organizational Performance Using Education Sector Dataset 

Table 17 | Analysis of Simple K-Mean and Parallel K-Mean Clustering for Software Products and Organizational Performance Using Education Sector Dataset 