help > RE: Hierarchical clustering
Apr 22, 2014  04:04 AM | Alfonso Nieto-Castanon - Boston University
RE: Hierarchical clustering
Dear Deniz,

The hierarchical clustering algorithm in the 'ROI results explorer' uses a complete linkage (further distance) method with euclidean distance metric. Distances are computed as a weighted average of differences in connectivity statistics (functional criteria) and differences in spatial location (spatial criteria) between each pair of ROIs. The weighting factor is user-defined (ranging between '0', which uses a purely functional criteria, and '1', which uses a purely spatial criteria). 

Hope this helps.
Alfonso

Originally posted by Deniz Vatansever:
Dear Alfonso and the rest of the conn team,

Thank you all for the useful toolbox. Unfortunately I wasn't able to find any information on the type of hierarchical clustering used in ROI-to-ROI explorer GUI, and how it displays the subnetworks according to functional/spatial adjacency; will be glad if you can let me know.

Kind regards,

Deniz

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TitleAuthorDate
Deniz Vatansever Feb 6, 2014
RE: Hierarchical clustering
Alfonso Nieto-Castanon Apr 22, 2014
tracywx Aug 21, 2017