Topology: A Theory of a Pseudometric-Based Clustering Model and Its Application in Content-Based Image Retrieval

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/4540731/figures/4540731.fig.005a.svgz" name="4540731.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Experimental results for Bonzai cluster</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/4540731/figures/4540731.fig.005b.svgz" name="4540731.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Experimental results for Prairie cluster</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/mpe/volume-2019/4540731/figures/4540731.fig.005c.svgz" name="4540731.fig.005c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Experimental results for Forest cluster</td></tr></table>

<div>Experimental results for classes clustering.</div>

Mathematical Problems in Engineering

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Figure 5

Figure 5: Topology: A Theory of a Pseudometric-Based Clustering Model and Its Application in Content-Based Image Retrieval 