𝔖 Bobbio Scriptorium
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A weighted multivariate signed-rank test for cluster-correlated data

✍ Scribed by Riina Haataja; Denis Larocque; Jaakko Nevalainen; Hannu Oja


Book ID
108185578
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
991 KB
Volume
100
Category
Article
ISSN
0047-259X

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## Abstract The primary aim of this work is to propose and investigate the effectiveness of a novel unsupervised tissue clustering and classification algorithm for diffusion tensor MRI (DTI) data. The proposed algorithm utilizes information about the degree of homogeneity of the distribution of dif