Detecting Clusters in fMRI Data Using the Dendrogram Sharpening Algorithm
Larissa I Stanberry, Rajesh Ranjan Nandy, Dietmar Cordes · 2003
L. Stanberry, R. R. Nandy, D. Cordes University of Washington, Seattle, WA, United States Synopsis Dendrogram sharpening (DSh) makes it easier to identify the modality regions, which are, in essence, areas of activation in the human brain while analyzing fMRI data. The idea of the algorithm is to simply remove data from low density regions in order to obtain a clear representation of the data structure. For this paper, a hierarchical clustering method based on a single linkage algorithm was used to group the data, then the DSh algorithm was applied twice. After cluster cores were identified, the classification algorithm was run on voxels, set aside during DSh, attempting to assign them to the found clusters.