Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/5937274/figures/5937274.fig.008a.svgz" name="5937274.fig.008a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>TP-IKPCA</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/5937274/figures/5937274.fig.008b.svgz" name="5937274.fig.008b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>IKPCA-RS</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/5937274/figures/5937274.fig.008c.svgz" name="5937274.fig.008c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>INKPCA</td></tr></table>

<div>Evolution curves of the correlation coefficients between the first three PCs of (a) TP-IKPCA, (b) IKPCA-RS, (c) INKPCA, and KPCA as the number of training samples increases (x-axis).</div>

Complexity

fig8

Figure 8

Figure 8: Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets 