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Functional MRI activation detection using genetic K-means clustering

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3 Author(s)
Lin Shi ; Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China ; Heng, P.A. ; Tien-Tsin Wong

We propose a novel clustering approach to fMRI activation detection using a genetic K-means algorithm, which is more likely to find a global optimal solution to the K-means clustering, and is independent of the initial assignments of the cluster centroids. The experiments show that the proposed method solves fMRI activation detection problem with higher accuracy than ordinary K-means clustering.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:3 )

Date of Conference:

18-21 Aug. 2005