Classification of Rural Tourism Features Based on Hierarchical Clustering Analysis Knowledge Recognition Algorithm

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Format</td><td class="align_center">Total POI</td><td class="align_center">Weight value</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Food</td><td class="align_center">2101</td><td class="align_center">0.452012</td></tr><tr><td class="align_left">Shopping</td><td class="align_center">2005</td><td class="align_center">0.298012</td></tr><tr><td class="align_left">Hotels</td><td class="align_center">278</td><td class="align_center">0.044012</td></tr><tr><td class="align_left">Leisure and entertainment</td><td class="align_center">753</td><td class="align_center">0.124012</td></tr><tr><td class="align_left">Business buildings</td><td class="align_center">36</td><td class="align_center">0.006012</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Weight values of various business types in rural tourist attractions.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Classification of Rural Tourism Features Based on Hierarchical Clustering Analysis Knowledge Recognition Algorithm 