Identification of Accident Blackspots on Rural Roads Using Grid Clustering and Principal Component Clustering

<table class="fixed-width table-group" id="tab7"><tr><td><table class="table"><colgroup><col style="width:14.65em"/><col style="width:5.02em"/><col style="width:10.19em"/></colgroup><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center"><b>Xie-Beni</b></td><td class="align_center"><b>Xie-Beni after adding noise</b></td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left"><b>FCM</b></td><td class="align_center">2.128</td><td class="align_center">4.520</td></tr><tr><td class="align_left" colspan="3"><hr/></td></tr><tr><td class="align_left"><b>FCM based on weighted entropy and squared sum improvement</b></td><td class="align_center">0.916</td><td class="align_center">1.360</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Cluster validity test of fuzzy clustering.</div>

Mathematical Problems in Engineering

tab7

Table 7

Table 7: Identification of Accident Blackspots on Rural Roads Using Grid Clustering and Principal Component Clustering 