[Eeglablist] Toolbox for cluster analysis

[Makoto Miyakoshi]

Dear Nitin,

I forwarded this post to EEGLAB developers since I thought this could be
used to make the current ICA clustering more robust. To me your solutions
seem reasonable and I see no reason not to use it! I appreciate your effort
to made it available for the community.

Makoto

On Sat, Mar 12, 2016 at 1:35 PM, Williams, Nitin J <
nitin.williams at helsinki.fi> wrote:

> Hi,
>
>
>
> Please excuse the shameless plug, this is to inform you about a
> MATLAB-based toolbox for cluster analysis that we have made available from:
>
>
>
>
> http://www.mathworks.com/matlabcentral/fileexchange/55938-clustering-toolbox
>
>
>
> The toolbox implements the following pipeline:
>
>
> 1. Denoising of raw-data prior to cluster analysis, using Empirical Mode
> Decomposition
> 2. Determining number of clusters using Stability Index, a bootstrap-based
> index
> 3. Initialise cluster centroids for *k*-means using method based on
> Genetic Algorithms
> 4. Visualisation of cluster analysis results using PCA-based method
>
>
>
> For details of pipeline and example application to ensembles of ERP
> single-trials, refer:
>
>
>
> Williams NJ, Nasuto SJ, Saddy, JD. Method for exploratory cluster analysis
> and visualisation of single-trial ERP ensembles.
>
> *Journal of Neuroscience Methods* 250, 22-33.
>
>
>
> http://www.sciencedirect.com/science/article/pii/S016502701500059X
>
>
>
> Please also cite above paper when publishing results from applying this
> code!
>
>
>
> Of course, any feedback/comments/queries welcome.
>
>
>
> Thanks & regards,
>
> Nitin
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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