AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

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Zirui
December 10, 2017 11:45PM
Hi AFNI experts,

If I understand correctly, the author "hjr61547" seems asking if there is a program could classify or group functional connectivity maps, e.g. sorting connectivity snapshots into k groups by maximizing within-cluster similarity and between-cluster dissimilarity. I knew there is a k-means clusting algorithm in MATLAB could do this, while I don't know if there is an AFNI program could do similar thing.
I noticed that there is one called 3dkmeans, while it seems classifying clusters in the spatial domain. If so, could you write a program for the above purpose please?
I would say it will be a very useful program for AFNI users. Here are two references using similar approach:

Allen et a., 2016. Cerebral Cortex. Tracking Whole-Brain Connectivity Dynamics in the Resting State
Gonzalez-Castillo et al., 2015. PNAS. Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns

Thank you,
Zirui
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Subject Author Posted

k-means clustering

hjr61547 November 19, 2017 11:26AM

Re: k-means clustering

Peter Molfese November 20, 2017 09:14AM

Re: k-means clustering

Anonymous User November 23, 2017 05:16AM

Re: k-means clustering

Anonymous User November 23, 2017 07:02AM

Re: k-means clustering

avovk November 30, 2017 10:08AM

Re: k-means clustering

carolege December 04, 2017 05:49AM

Re: k-means clustering

Zirui December 10, 2017 11:45PM