Application of Data Mining Methods in Grouping Agricultural Product Customers

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Cluster</td><td class="align_center">Label</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Cluster 0</td><td class="align_center">Gold customers</td></tr><tr><td class="align_left">Cluster 1</td><td class="align_center">Bronze customers</td></tr><tr><td class="align_left">Cluster 2</td><td class="align_center">Silver customers</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

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Table 5

Table 5: Application of Data Mining Methods in Grouping Agricultural Product Customers 