An Approach to Spatiotemporal Trajectory Clustering Based on Community Detection

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2021/5582341/figures/5582341.fig.006a.svgz" name="5582341.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Original trajectory 6275</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2021/5582341/figures/5582341.fig.006b.svgz" name="5582341.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Processed trajectory 6275</td></tr></table>

<div>Comparison graph of trajectory processing.</div>

Wireless Communications and Mobile Computing

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Figure 6

Figure 6: An Approach to Spatiotemporal Trajectory Clustering Based on Community Detection 