[Eeglablist] Cluster Tightness in mica_release

[Jason Palmer]

Hi Zohre,

Arnaud actually performed the cluster tightness calculation for the figure,
and I don't think this was meant to be part of the release. However, I think
all you would need to do is (1) perform dipole localization for the
decompositions using an ICA algorithm, (2) cluster using eeglab and k-means
for example, (3) compute the cluster means and the average distance from the
mean of each subject dipole in the cluster. The dipole locations are saved
in the dipfit structure, and the cluster information (which subject comps in
each cluster) is in the STUDY cluster structure. If you have a clustered
study, it should only be a script of a few lines to get a measure of the
cluster tightness (average distance from the cluster mean). Let us know if
you need further info.

Best,
Jason

-----Original Message-----
From: Makoto Miyakoshi [mailto:mmiyakoshi at ucsd.edu] 
Sent: Tuesday, October 16, 2012 10:48 PM
To: Zohre Zakeri
Cc: japalmer at ucsd.edu; eeglablist at sccn.ucsd.edu
Subject: Re: [Eeglablist] Cluster Tightness in mica_release

This is for Jason.

Makoto

2012/10/16 Zohre Zakeri <send2zohre at yahoo.com>:
> Hi all,
>
> I'm using the methods in paper " Independent EEG sources are dipolar" 
> , 2012, for A.Delorme, J.Palmer, S.Makeig et.all.
> I downloaded mica_release and I am trying to understand and use "Mean 
> Cluster tightness vs. MIR", however, I couldn't find the MTALAB 
> function and associated plots for Cluster tightness. I was wondering 
> whether its MATLAB function is not included in mica_release or I could 
> not find it to understand the clustering and tightness and plot it !
>
> I really appreciate it if you could help and direct me.
>
> Best regards,
> Zohre
>
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--
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad Swartz Center for Computational
Neuroscience Institute for Neural Computation, University of California San
Diego