Cluster Analysis Based on Bipartite Network

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="676427.fig.003a" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/676427/figures/676427.fig.003a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>y_2_3</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="676427.fig.003b" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/676427/figures/676427.fig.003b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>The change of values of five indices with cluster number for y_2_3</td></tr></table></td></tr></table>

<table>The scatter diagram of y_2_3 and the comparison of the proposal with the other four indices.</table>

Mathematical Problems in Engineering

fig3

Figure 3

Figure 3: Cluster Analysis Based on Bipartite Network 