<div class="gs_r" style="margin-top:1em;margin-right:0em;margin-bottom:1em;margin-left:0em;background-color:rgb(255,255,255)"><div class="gs_rs"><span style>sorry can't help more here, this is a pretty underdeveloped area of published research,</span><br>
</div><div class="gs_rs" style="font-family:arial,sans-serif;line-height:16px"><div style>although most researchers working with IC clusters have reached their own </div><div style>satisfactory methods. </div><div style>
<div>
<br></div><div>No I do not think that cluster-selection methods for ICA results exist in the literature.</div><div>However, if you not a stable pattern of <span class="il" style="background-image:initial;background-color:rgb(255,255,204)">clustering</span> across multiple <span class="il" style="background-image:initial;background-color:rgb(255,255,204)">clustering</span> techniques,</div>
<div>that should be evidence of a real cluster.</div><div><br></div><div>Also, you can examine the literature yourself for the scalp map characteristics</div><div>and frequency charactersistics of certain ERP components,</div>
<div>and try to get clusters that show similar components in a similar task.</div><div><br></div><div>One thing you have to do mostly manually, or code up yourself,</div><div>is the pruning and remaking of clusters, in case the <span class="il" style="background-image:initial;background-color:rgb(255,255,204)">clustering</span></div>
<div>technique you choose does not sort your ICs perfectly (which is usually the case).</div><div><br></div><div>See also CORRMAP as a way to derived clusters based only on scalp maps,</div><div>although the ideal cluster of ICs would give ICs that have multiple characterstics (ERSP, scalp map, dipoles)</div>
<div>that match up.<br><br><br><br>The MPT toolbox for eeglab works hard to find meaningful groups of ICs across subjects</div><div><br><h3 style="margin-right:0px;font-size:medium;width:44.5em;margin-left:0px;margin-bottom:0px;margin-top:0px;font-weight:normal">
<span style="color:rgb(0,0,204);font-size:x-small;font-weight:bold">[PDF]</span> <a href="http://sccn.ucsd.edu/~arno/mypapers/ComputationIntelligenceDelorme.pdf" target="_blank" style="color:rgb(85,26,139)">EEGLAB, MPT, NetSIFT, NFT, BCILAB, and ERICA: New tools for advanced <b>EEG</b>/MEG processing</a></h3>
<div style="font-size:medium;white-space:nowrap"><a href="http://sccn.ucsd.edu/~arno/mypapers/ComputationIntelligenceDelorme.pdf" target="_blank" style="color:rgb(85,26,139)"><span style="font-size:small;font-weight:bold">[PDF]</span> from ucsd.edu</a></div>
<div style="line-height:16px;color:rgb(0,128,0)">A Delorme, T Mullen, C Kothe… - Computational …, 2011 - <a href="http://sccn.ucsd.edu/" target="_blank" style="color:rgb(17,85,204)">sccn.ucsd.edu</a></div><div style="line-height:16px">
<b>...</b> users modify while, at the same time, allowing free contribution of new <b>algorithms</b> and methods <b>...</b></div><div style="line-height:16px"><b><br></b></div><div style="line-height:16px"><div class="gs_r" style="color:rgb(0,0,0);font-size:small;margin-top:1em;margin-right:0em;margin-bottom:1em;margin-left:0em;background-color:rgb(255,255,255)">
<h3 class="gs_rt" style="width:44.5em;font-weight:normal;font-size:medium;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px"><a href="http://www.sciencedirect.com/science/article/pii/s1053-8119(08)01203-2" style="color:rgb(85,26,139)">A review of <b>group ICA </b>for fMRI data and <b>ICA </b>for joint inference of imaging, genetic, and ERP data</a></h3>
<div class="gs_ggs gs_fl" style="white-space:nowrap;font-size:medium"><a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2651152/" style="color:rgb(85,26,139)"><span class="gs_ctg2" style="font-size:small;font-weight:bold">[HTML]</span> from nih.gov</a> <br>
<a href="http://ucelinks.cdlib.org:8888/sfx_local?sid=google&auinit=VD&aulast=Calhoun&atitle=A+review+of+group+ICA+for+fMRI+data+and+ICA+for+joint+inference+of+imaging,+genetic,+and+ERP+data&title=NeuroImage&volume=45&issue=1&date=2009&spage=S163&issn=1053-8119" style="color:rgb(85,26,139)">UC-eLinks</a></div>
<div class="gs_a" style="color:rgb(0,128,0)"><a href="http://scholar.google.com/citations?hl=en&user=7pk1M78AAAAJ&oi=sra" style="color:rgb(0,128,0)">VD Calhoun</a>, J Liu… - Neuroimage, 2009 - Elsevier</div><div class="gs_rs">
<b>...</b> doi:10.1016/j.neuroimage.2008.10.057 | How to Cite or Link Using DOI Copyright © 2008 Elsevier<br>Inc. All rights reserved. Permissions & Reprints. A review of <b>group</b> <b>ICA</b> for fMRI data and <b>ICA</b> for<br>
joint inference of imaging, genetic, and ERP data. <b>...</b> <b>Group</b> <b>ICA</b> of fMRI data. <b>...</b></div><div class="gs_fl"><a href="http://scholar.google.com/scholar?cites=2579355743274338430&as_sdt=2005&sciodt=0,5&hl=en" style="color:rgb(85,26,139)">Cited by 101</a> - <a href="http://scholar.google.com/scholar?q=related:fgg762G2yyMJ:scholar.google.com/&hl=en&as_sdt=0,5&as_ylo=2009" style="color:rgb(85,26,139)">Related articles</a> - <a href="http://scholar.google.com/scholar?cluster=2579355743274338430&hl=en&as_sdt=0,5&as_ylo=2009" style="color:rgb(85,26,139)">All 11 versions</a></div>
</div><div class="gs_r" style="color:rgb(0,0,0);font-size:small;margin-top:1em;margin-right:0em;margin-bottom:1em;margin-left:0em;background-color:rgb(255,255,255)"><h3 class="gs_rt" style="width:44.5em;font-weight:normal;font-size:medium;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px">
<a href="http://www.sciencedirect.com/science/article/pii/S1053811909009057" style="color:rgb(85,26,139)">Exploring transient transfer entropy based on a <b>group</b>-wise <b>ICA </b>decomposition of <b>EEG </b>data</a></h3>
<div class="gs_ggs gs_fl" style="white-space:nowrap;font-size:medium"><a href="http://psych.wisc.edu/postlab/readings/Vakorin_Neuroimage_2009.pdf" style="color:rgb(85,26,139)"><span class="gs_ctg2" style="font-size:small;font-weight:bold">[PDF]</span> from wisc.edu</a> <br>
<a href="http://ucelinks.cdlib.org:8888/sfx_local?sid=google&auinit=VA&aulast=Vakorin&atitle=Exploring+transient+transfer+entropy+based+on+a+group-wise+ICA+decomposition+of+EEG+data&title=NeuroImage&volume=49&issue=2&date=2010&spage=1593&issn=1053-8119" style="color:rgb(85,26,139)">UC-eLinks</a></div>
<div class="gs_a" style="color:rgb(0,128,0)">VA Vakorin, N Kovacevic… - Neuroimage, 2010 - Elsevier</div><div class="gs_rs">This paper presents a data-driven pipeline for studying asymmetries in mutual <br>interdependencies between distinct components of <b>EEG </b>signal. Due to volume <br>
conductance, estimating coherence between scalp electrodes may lead to spurious <b>...</b></div><div class="gs_fl"><a href="http://scholar.google.com/scholar?cites=9003334747012793133&as_sdt=2005&sciodt=0,5&hl=en" style="color:rgb(85,26,139)">Cited by 10</a> - <a href="http://scholar.google.com/scholar?q=related:LQOhLUBF8nwJ:scholar.google.com/&hl=en&as_sdt=0,5&as_ylo=2009" style="color:rgb(85,26,139)">Related articles</a> - <a href="http://scholar.google.com/scholar?cluster=9003334747012793133&hl=en&as_sdt=0,5&as_ylo=2009" style="color:rgb(85,26,139)">All 6 versions</a></div>
</div><div class="gs_r" style="color:rgb(0,0,0);font-size:small;margin-top:1em;margin-right:0em;margin-bottom:1em;margin-left:0em;background-color:rgb(255,255,255)"><h3 class="gs_rt" style="width:44.5em;font-weight:normal;font-size:medium;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px">
<span class="gs_ctc" style="color:rgb(0,0,204);font-size:x-small;font-weight:bold">[PDF]</span> <a href="http://mialab.mrn.org/software/eegift/docs/v1.0c_EEGIFT_Walk_Through.pdf" style="color:rgb(85,26,139)"><b>Group ICA </b>of <b>EEG </b>Toolbox (EEGIFT) Walk Through</a></h3>
<div class="gs_ggs gs_fl" style="white-space:nowrap;font-size:medium"><a href="http://mialab.mrn.org/software/eegift/docs/v1.0c_EEGIFT_Walk_Through.pdf" style="color:rgb(85,26,139)"><span class="gs_ctg2" style="font-size:small;font-weight:bold">[PDF]</span> from mrn.org</a></div>
<div class="gs_a" style="color:rgb(0,128,0)">S Rachakonda, <a href="http://scholar.google.com/citations?hl=en&user=NZbEIIYAAAAJ&oi=sra" style="color:rgb(0,128,0)">T Eichele</a>… - 2010 - <a href="http://mialab.mrn.org">mialab.mrn.org</a></div>
<div class="gs_rs">This walk-through guides you step by step in analyzing <b>EEG </b>data based on the <b>group ICA </b></div></div></div><br><h3 style="margin-right:0px;font-size:medium;width:44.5em;margin-left:0px;margin-bottom:0px;margin-top:0px;font-weight:normal">
<a href="http://www.sciencedirect.com/science/article/pii/S0957417410005695" target="_blank" style="color:rgb(85,26,139)"><b>EEG </b>signal classification using PCA, <b>ICA</b>, LDA and support vector machines</a></h3><div style="font-size:medium;white-space:nowrap">
<a href="http://ucelinks.cdlib.org:8888/sfx_local?sid=google&auinit=A&aulast=Subasi&atitle=EEG+signal+classification+using+PCA,+ICA,+LDA+and+support+vector+machines&title=Expert+systems+with+applications&volume=37&issue=12&date=2010&spage=8659&issn=0957-4174" target="_blank" style="color:rgb(85,26,139)">UC-eLinks</a></div>
<div style="line-height:16px;color:rgb(0,128,0)"><a href="http://scholar.google.com/citations?hl=en&user=W6FLhskAAAAJ&oi=sra" target="_blank" style="color:rgb(0,128,0)">A Subasi</a>… - Expert Systems with Applications, 2010 - Elsevier</div>
<div style="line-height:16px"><b><br></b></div><div style="line-height:16px"><b><br></b></div><div style="line-height:16px"><h3 style="width:44.5em;font-weight:normal;font-size:medium;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px">
<a href="http://www.sciencedirect.com/science/article/pii/S0730725X10000603" target="_blank" style="color:rgb(85,26,139)">Analysis of functional networks involved in motor execution and motor imagery using combined hierarchical <b><span class="il" style="background-image:initial;background-color:rgb(255,255,204);color:rgb(34,34,34);background-repeat:initial initial">clustering</span> </b>analysis and independent component analysis</a></h3>
<div style="white-space:nowrap;font-size:medium"><a href="http://ucelinks.cdlib.org:8888/sfx_local?sid=google&auinit=Y&aulast=Wang&atitle=Analysis+of+functional+networks+involved+in+motor+execution+and+motor+imagery+using+combined+hierarchical+clustering+analysis+and+independent+component+analysis&id=doi:10.1016/j.mri.2010.02.008&title=Magnetic+resonance+imaging&volume=28&issue=5&date=2010&spage=653&issn=0730-725X" target="_blank" style="color:rgb(85,26,139)">UC-eLinks</a></div>
<div style="color:rgb(0,128,0)">Y Wang, H Chen, Q Gong, S Shen… - Magnetic Resonance Imaging, 2010 - Elsevier</div></div><br><br></div><div><br></div><div>examples of the many papers regarding <span class="il" style="background-image:initial;background-color:rgb(255,255,204)">clustering</span> algorithms in general:<br>
<br><h3 style="margin-right:0px;font-size:medium;width:44.5em;margin-left:0px;margin-bottom:0px;margin-top:0px;font-weight:normal"><a href="http://bib.oxfordjournals.org/content/10/3/297.short" target="_blank" style="color:rgb(85,26,139)">A roadmap of <b><span class="il" style="background-image:initial;background-color:rgb(255,255,204);color:rgb(34,34,34);background-repeat:initial initial">clustering</span> algorithms</b>: finding a match for a biomedical application</a></h3>
<div style="font-size:medium;white-space:nowrap"><a href="http://bib.oxfordjournals.org/content/10/3/297.full" target="_blank" style="color:rgb(85,26,139)"><span style="font-size:small;font-weight:bold">[HTML]</span> from oxfordjournals.org</a> <br>
<a href="http://ucelinks.cdlib.org:8888/sfx_local?sid=google&auinit=B&aulast=Andreopoulos&atitle=A+roadmap+of+clustering+algorithms:+finding+a+match+for+a+biomedical+application&id=doi:10.1093/bib/bbn058&title=Briefings+in+bioinformatics&volume=10&issue=3&date=2009&spage=297&issn=1467-5463" target="_blank" style="color:rgb(85,26,139)">UC-eLinks</a></div>
<div style="line-height:16px;color:rgb(0,128,0)">B Andreopoulos, A An, X Wang… - Briefings in …, 2009 - Oxford Univ Press</div><div style="line-height:16px"><b>...</b> The objectives of this article are: a. to survey important <b><span class="il" style="background-image:initial;background-color:rgb(255,255,204)">clustering</span></b> applications in biomedicine,</div>
<div style="line-height:16px"><br></div><div style="line-height:16px"><h3 style="width:44.5em;font-weight:normal;font-size:medium;margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px"><a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5594620" target="_blank" style="color:rgb(85,26,139)"><b><span class="il" style="background-image:initial;background-color:rgb(255,255,204);color:rgb(34,34,34);background-repeat:initial initial">Clustering</span> algorithms </b>in biomedical research: A review</a></h3>
<div style="white-space:nowrap;font-size:medium"><a href="http://ucelinks.cdlib.org:8888/sfx_local?sid=google&auinit=R&aulast=Xu&atitle=Clustering+algorithms+in+biomedical+research:+A+review&id=doi:10.1109/RBME.2010.2083647&title=IEEE+Reviews+in+Biomedical+Engineering&volume=3&date=2010&spage=120&issn=1937-3333" target="_blank" style="color:rgb(85,26,139)">UC-eLinks</a></div>
<div style="color:rgb(0,128,0)">R Xu… - Biomedical Engineering, IEEE Reviews in, 2010 - <a href="http://ieeexplore.ieee.org/" target="_blank" style="color:rgb(17,85,204)">ieeexplore.ieee.org</a></div><div><b>...</b> overview of the status quo of <b><span class="il" style="background-image:initial;background-color:rgb(255,255,204)">clustering</span></b> <b>algorithms</b>, to give examples of biom</div>
</div></div></div></div></div>