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Most web text clustering is based on the space vector text representation model. This results in a high dimension in the terms; and it leads to an increase in time complexity and a loss of text semantics due to the fact that the semantic relationship of the terms is not considered. In this paper, a new approach is taken where a concept lattice is generated with text treated as object and terms of...
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques. In this work we present a novel scheme to model the shape of white matter fiber tracts reconstructed from DTI and cluster them into bundles using Fourier descriptors. We characterize a tract's shape by using Fourier descriptors...
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