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Focused on the disadvantage of classical Euclidian
distance in data clustering analysis, we propose an improved
distance calculation formula, which describes the local
compactness and global connectivity between data points.
Furthermore, we i
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A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault cl
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