Application of Data Mining Methods in Grouping Agricultural Product Customers

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">cluster_2</td><td class="align_center">Hospitals</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">cluster_2</td><td class="align_center">Universities</td></tr><tr><td class="align_left">cluster_1</td><td class="align_center">Automobile manufacturers</td></tr><tr><td class="align_left">cluster_1</td><td class="align_center">Ministry of energy</td></tr><tr><td class="align_left">cluster_2</td><td class="align_center">Municipality</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Placement of customers in clusters.</div>

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Application of Data Mining Methods in Grouping Agricultural Product Customers 