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For decades practitioners have been using the separable distance and inner product induced norms as the distance measures for k-means, Fuzzy C-Means (FCM), hard and fuzzy k-modes clustering algorithms. In this paper, we introduce a novel concept of automated feature weighting for general clustering algorithms (including both hard and fuzzy clustering) to amplify the effect of the discriminating features,...
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