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<p class="MsoNormal"><span style="font-size:10.5pt">Hi,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt">Please excuse the shameless plug, this is to inform you about a MATLAB-based toolbox for cluster analysis that we have made available from:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt"><a href="http://www.mathworks.com/matlabcentral/fileexchange/55938-clustering-toolbox">http://www.mathworks.com/matlabcentral/fileexchange/55938-clustering-toolbox</a><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white">The toolbox implements the following pipeline:<o:p></o:p></span></p>
<p class="MsoNormal"><span class="apple-converted-space"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white"> </span></span><span lang="EN-GB" style="font-size:10.5pt;color:#191919"><br>
<span style="background:white">1. Denoising of raw-data prior to cluster analysis, using Empirical Mode Decomposition<span class="apple-converted-space"> </span></span><br>
<span style="background:white">2. Determining number of clusters using Stability Index, a bootstrap-based index</span><br>
<span style="background:white">3. Initialise cluster centroids for <i>k</i>-means using method based on Genetic Algorithms<span class="apple-converted-space"> </span></span><br>
<span style="background:white">4. </span></span><span style="font-size:10.5pt;color:#191919;background:white">Visualisation of cluster analysis results using PCA-based method<span class="apple-converted-space"> <o:p></o:p></span></span></p>
<p class="MsoNormal"><span class="apple-converted-space"><span style="font-size:10.5pt;color:#191919;background:white"><o:p> </o:p></span></span></p>
<p class="MsoNormal"><span class="apple-converted-space"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white">For details of pipeline and example application to ensembles of ERP single-trials, refer:<o:p></o:p></span></span></p>
<p class="MsoNormal"><span class="apple-converted-space"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white"><o:p> </o:p></span></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white">Williams NJ, Nasuto SJ, Saddy, JD. Method for exploratory cluster analysis and visualisation<span class="apple-converted-space"> </span>of single-trial ERP ensembles.
<o:p></o:p></span></p>
<p class="MsoNormal"><i><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white">Journal of Neuroscience Methods</span></i><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white"> 250, 22-33.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt"><a href="http://www.sciencedirect.com/science/article/pii/S016502701500059X"><span lang="EN-GB" style="color:#004AA0;background:white">http://www.sciencedirect.com/science/article/pii/S016502701500059X</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white">Please also cite above paper when publishing results from applying this code!<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white">Of course, any feedback/comments/queries welcome.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt;color:#191919;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt">Thanks & regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-size:10.5pt">Nitin<o:p></o:p></span></p>
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