Improved Expectation Maximization Algorithm for Gaussian Mixed Model Using the Kernel Method

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="757240.fig.002a" src="https://static.hindawi.com/articles/mpe/volume-2013/757240/figures/757240.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Sample 1</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="757240.fig.002b" src="https://static.hindawi.com/articles/mpe/volume-2013/757240/figures/757240.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Sample 2</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="757240.fig.002c" src="https://static.hindawi.com/articles/mpe/volume-2013/757240/figures/757240.fig.002c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Sample 3</td></tr></table></td></tr></table>

<table>Plots of values of log-likelihood function.</table>

Mathematical Problems in Engineering

fig2

Figure 2

Figure 2: Improved Expectation Maximization Algorithm for Gaussian Mixed Model Using the Kernel Method 